Startup Decision Toolkit

Opportunity scoring, gap analysis, and competitor mapping across 20 quantum computing domains

Generated 2/20/2026

Opportunity Scorer

Composite 0–100 score per topic from technical readiness, research momentum, market whitespace, product proximity, and time-to-market

#1 Recommended66
Hardware and Implementation
Tech: 75 | Momentum: 96 | Proximity: 38
#2 Recommended66
Applications Energy and Engineering
Tech: 75 | Momentum: 67 | Proximity: 33
#3 Recommended65
Surveys Reviews and Benchmarks
Tech: 100 | Momentum: 39 | Proximity: 38
All Topics Ranked
Click any bar to see the radar breakdown

Paper-to-Product Gap Analysis

Startup ideas extracted from research analysis — problems to solve, capabilities to productize, and cross-domain bridges

Research capabilities ready to productize — "possible today" items from the landscape analysis

Provable polynomial and quadratic quantum speedups for specific problems such as k-means clustering ...
Medium
Algorithms and Theory
Quantum query complexity is well-characterized via the adversary bound and st-connectivity framework...
Medium
Algorithms and Theory
Experimental demonstration of quantum ensemble learning on superconducting processors achieving 86% ...
Medium
Algorithms and Theory
Hybrid quantum-classical algorithms for multi-agent path-finding run on actual quantum hardware and ...
Medium
Algorithms and Theory
Construction of quantum circuits for high-dimensional absolutely maximally entangled states enabling...
Medium
Algorithms and Theory
Quantum kernel methods exhibit double descent behavior analogous to classical models, analytically d...
Medium
QML Foundations
Data re-uploading on photonic processors is proven to be a universal classifier with effective gener...
Medium
QML Foundations
Quantum Random Features achieve up to 89.3% accuracy on Fashion-MNIST, providing a hardware-compatib...
Medium
QML Foundations
Formal proofs of identification learning advantages for quantum functions, showing exponential quant...
Medium
QML Foundations
VQE with tailored ansatzes achieves chemical accuracy for small molecules (H2, LiH, BeH2) validated ...
Medium
Chemistry Simulation and Materials
DMET+VQE co-optimization reduces quantum resources enough to determine equilibrium geometry of glyco...
Medium
Chemistry Simulation and Materials
Neural network quantum Monte Carlo with local pseudopotentials treats iron-sulfur clusters with 268 ...
Medium
Chemistry Simulation and Materials
Quantum molecular structure encoding preserves bond orders as qubit rotations with competitive class...
Medium
Chemistry Simulation and Materials
Quantum Recurrent Unit achieves 98.05% on MNIST with only 132 parameters versus ~27,265 for a classi...
Medium
Neural Networks
Complex-valued neural networks outperform real-valued networks for predicting quantum dissipative dy...
Medium
Neural Networks
Quantum Graph Attention Networks show increasing benefits over non-attentive models as molecular gra...
Medium
Neural Networks
WSBD optimizer converges 63.9% faster than Adam for ground-state energy problems with formal converg...
Medium
Neural Networks
VQE with hardware-aware workflows achieves financial performance on par with classical methods for p...
Medium
Variational Methods
Entanglement-informed ansatz construction yields 99.99% accuracy with 99% fewer 2-qubit gates than U...
Medium
Variational Methods
Guided sampling ansatzes on IonQ Aria achieve errors well below chemical accuracy with only 200 circ...
Medium
Variational Methods
TreeVQA achieves over 100x shot count reduction for large-scale problems by exploiting execution sim...
Medium
Variational Methods
Systematic benchmarking frameworks for comparing QML models against architecture-matched classical c...
Medium
Surveys Reviews and Benchmarks
Comprehensive surveys catalog quantum algorithms by paradigm across specific application domains.
Medium
Surveys Reviews and Benchmarks
Reproducible QML evaluation on real IBM hardware (up to 156 qubits) with device-aware circuits and e...
Medium
Surveys Reviews and Benchmarks
Benchmarking of VQE flavors with accuracy comparisons against classical quantum chemistry methods.
Medium
Surveys Reviews and Benchmarks
Open-source benchmarking suites for variational quantum optimization enabling reproducible experimen...
Medium
Surveys Reviews and Benchmarks
QAOA demonstrated on real hardware for small-scale combinatorial optimization on superconducting, tr...
Medium
Optimization and QAOA
Warm-start QAOA using SDP relaxation consistently improves approximation ratios at lower circuit dep...
Medium
Optimization and QAOA
Hybrid workflows combining QAOA clustering with quantum annealing routing solve real-world drone rou...
Medium
Optimization and QAOA
Multi-angle QAOA variants reduce training steps by up to 81.8% through cyclic layer revisitation.
Medium
Optimization and QAOA
Analog QAOA on neutral atom QPUs with Bayesian optimization demonstrates viable parameter optimizati...
Medium
Optimization and QAOA
Automated compilation frameworks for data loading achieve over 4 orders of magnitude resource reduct...
Medium
Hardware and Implementation
Gate teleportation-assisted routing on IBM 127-qubit processors achieves 10-25% circuit depth reduct...
Medium
Hardware and Implementation
Photonic quantum computing platforms support gradient computation via parameter-shift rules.
Medium
Hardware and Implementation
Neutral atom arrays natively embed graph optimization problems at the hardware level for hundreds of...
Medium
Hardware and Implementation
Quantum learning advantage demonstrated on photonic platform: 11.8 orders of magnitude fewer samples...
Medium
Hardware and Implementation
QSVMs achieve classification accuracy competitive with classical SVMs across benchmarks using real I...
Medium
Kernel Methods
Kernel target alignment via stochastic gradient descent simultaneously trains SVM and aligns quantum...
Medium
Kernel Methods
Variational quantum kernel frameworks achieve competitive accuracy against RBF kernels on 8 diverse ...
Medium
Kernel Methods
Hardware-aware quantum kernel design using graph neural networks integrates device topology and nois...
Medium
Kernel Methods
Quantum SVR for anomaly detection demonstrates robustness to multiple noise models on 11 benchmark d...
Medium
Kernel Methods
Hybrid VQC policies achieve performance comparable to classical counterparts while using 97.88% fewe...
Medium
Reinforcement Learning
RL-assisted quantum architecture search automates ansatz design, discovering circuits that outperfor...
Medium
Reinforcement Learning
RL-based quantum circuit optimization via ZX calculus achieves competitive CNOT gate reduction.
Medium
Reinforcement Learning
Asynchronous training frameworks with prioritized experience replay reduce quantum RL sampling compl...
Medium
Reinforcement Learning
QRC solves standard time-series benchmarks with fewer trainable parameters than classical reservoirs...
Medium
Reservoir Computing
Experimental QRC demonstrated on circuit QED hardware and on a >400-mode Gaussian Boson Sampler.
Medium
Reservoir Computing
Quantum reservoirs retain fading-memory and universality properties with kernel-theoretic expressive...
Medium
Reservoir Computing
QRC is noise-resilient by design: dissipation can enhance rather than degrade performance on NISQ ha...
Medium
Reservoir Computing
Hybrid cascaded reservoirs can retrieve past quantum features like entanglement via single-step meas...
Medium
Reservoir Computing
QCBMs and QGANs learn low-dimensional probability distributions with fewer parameters in data-scarce...
Medium
Generative Models
Quantum Boltzmann machines have rigorous convergence guarantees with polynomial sample complexity.
Medium
Generative Models
Hybrid QGANs demonstrated end-to-end on photonic and trapped-ion hardware with >90% fidelity.
Medium
Generative Models
QGANs for anomaly detection in HEP achieve comparable accuracy with 10x fewer training samples.
Medium
Generative Models
Large-scale QRBMs on D-Wave generate 1.6M synthetic samples for dataset balancing.
Medium
Generative Models
Hybrid quantum-classical CNNs achieve competitive accuracy on MNIST and medical imaging with 4-8x fe...
Medium
Applications Image and Vision
Quantum transfer learning with pre-trained classical networks successfully classifies high-resolutio...
Medium
Applications Image and Vision
Quantum vision transformers match classical vision transformers on quark-gluon jet discrimination ta...
Medium
Applications Image and Vision
Image classification deployed on utility-scale hardware (72 qubits, Quantinuum H-2) with >90% accura...
Medium
Applications Image and Vision
Quantum annealing for super-resolution achieves comparable PSNR with 7x inference speedup.
Medium
Applications Image and Vision
QFL frameworks with variational circuits achieve competitive classification while maintaining data p...
Medium
Federated and Distributed
Distributed quantum computing via circuit cutting enables circuits larger than any single QPU.
Medium
Federated and Distributed
Hybrid quantum split learning demonstrates >3% accuracy improvements with built-in reconstruction at...
Medium
Federated and Distributed
Distributed VQE shows that even minimal inter-module communication provides significant advantages.
Medium
Federated and Distributed
ML-based quantum error mitigation (NNAS) achieves order-of-magnitude error reductions in deep circui...
Medium
Error Mitigation and Noise
Lightweight readout error mitigation (T-REx) on older 5-qubit QPUs achieves VQE accuracy better than...
Medium
Error Mitigation and Noise
Neural decoders with attention achieve near-maximum-likelihood decoding for surface and color codes ...
Medium
Error Mitigation and Noise
Noise-induced barren plateaus are rigorously characterized, establishing fundamental constraints on ...
Medium
Error Mitigation and Noise
Hybrid QAOA and VQE solve small-scale vehicle routing and power grid optimization on real quantum ha...
Medium
Applications Energy and Engineering
Variational quantum circuits learn AC power flow solutions with fewer parameters than classical deep...
Medium
Applications Energy and Engineering
Quantum neural networks for smart grid anomaly detection outperform classical ML in accuracy and adv...
Medium
Applications Energy and Engineering
Quantum-enhanced lithium-ion battery degradation modeling captures nonlinear patterns on NASA datase...
Medium
Applications Energy and Engineering
Portfolio optimization with QAOA achieves Sharpe Ratio of 1.81 on 10 US equities, outperforming simu...
Medium
Applications Finance and Economics
Utility-scale portfolio construction on IBM Heron (109 qubits, 4200 gates) achieves 0.49% relative e...
Medium
Applications Finance and Economics
Quantum deep hedging on 16-qubit trapped-ion processor matches noiseless simulation performance.
Medium
Applications Finance and Economics
Quantum kernel fraud detection on neutral atom QPU shows noise-enhanced classification results.
Medium
Applications Finance and Economics
Credit rating prediction on 60-qubit neutral atom QPU achieves competitive performance against Rando...
Medium
Applications Finance and Economics
Hybrid quantum CNNs for brain tumor MRI classification achieve 91.47% validation accuracy with reduc...
Medium
Applications Healthcare and Biology
Quantum ensembles for gene expression classification demonstrated using up to 56 qubits on real hard...
Medium
Applications Healthcare and Biology
Quantum kernel methods capture temporal patterns in longitudinal studies of lymphoma and Alzheimer's...
Medium
Applications Healthcare and Biology
Quantum neural networks for surgical complication prediction achieve AUC of 0.7966.
Medium
Applications Healthcare and Biology
Hybrid QML for botnet detection achieves 91.2% accuracy on real hardware (IonQ, Rigetti, Quantinuum)...
Medium
Applications Cybersecurity
QML-IDS outperforms classical ML in binary and multiclass attack detection on public network securit...
Medium
Applications Cybersecurity
Distributed QCNNs for malware detection improve accuracy by ~20% over single-QCNN baselines.
Medium
Applications Cybersecurity
QuMoS framework demonstrates distributed QML execution preserving model security across cloud provid...
Medium
Applications Cybersecurity
The lambeq toolkit provides a complete pipeline for converting sentences to quantum circuits for rep...
Medium
Applications NLP and Language
QNLP sentiment analysis achieves perfect test accuracy in noiseless simulation for multiple circuit ...
Medium
Applications NLP and Language
Quantum-inspired text analysis combining density matrices with LSTM achieves interpretability improv...
Medium
Applications NLP and Language
Portable quantum language models demonstrate word embeddings transfer effectively to classical downs...
Medium
Applications NLP and Language

Cross-Domain Opportunity Finder

Semantic similarity between topic areas based on paper embeddings — amber cells highlight high-similarity, low-overlap whitespace opportunities

20 x 20 Topic Similarity Matrix
Click any cell for details. Amber = whitespace opportunity.
Algorithms & Theory
QML Foundations
Chemistry & Materials
Neural Networks
Variational Methods
Surveys & Benchmarks
Optimization
Hardware & Impl.
Kernel Methods
Reinforcement Learning
Reservoir Computing
Generative Models
App: Image & Vision
Federated & Dist.
Error Mitigation
App: Energy & Engineering
App: Finance & Economics
App: Healthcare & Biology
App: Cybersecurity
App: NLP & Language
Algorithms & Theory
QML Foundations
Chemistry & Materials
Neural Networks
Variational Methods
Surveys & Benchmarks
Optimization
Hardware & Impl.
Kernel Methods
Reinforcement Learning
Reservoir Computing
Generative Models
App: Image & Vision
Federated & Dist.
Error Mitigation
App: Energy & Engineering
App: Finance & Economics
App: Healthcare & Biology
App: Cybersecurity
App: NLP & Language
Low
High
Whitespace
Top Whitespace Opportunities
Topic pairs with high similarity but low paper overlap — unexplored intersections
1Algorithms and Theory × Surveys Reviews and Benchmarks
sim: 0.937whitespace
2Surveys Reviews and Benchmarks × Algorithms and Theory
sim: 0.937whitespace
3Algorithms and Theory × Hardware and Implementation
sim: 0.935whitespace
4QML Foundations × Surveys Reviews and Benchmarks
sim: 0.932whitespace
5Algorithms and Theory × Chemistry Simulation and Materials
sim: 0.930whitespace
6Chemistry Simulation and Materials × Algorithms and Theory
sim: 0.930whitespace
7Surveys Reviews and Benchmarks × Hardware and Implementation
sim: 0.916whitespace
8Hardware and Implementation × Surveys Reviews and Benchmarks
sim: 0.916whitespace
9Chemistry Simulation and Materials × Surveys Reviews and Benchmarks
sim: 0.904whitespace
10Surveys Reviews and Benchmarks × Chemistry Simulation and Materials
sim: 0.904whitespace
11QML Foundations × Neural Networks
sim: 0.896whitespace
12Error Mitigation and Noise × Surveys Reviews and Benchmarks
sim: 0.894whitespace
13Algorithms and Theory × Neural Networks
sim: 0.892whitespace
14Neural Networks × Algorithms and Theory
sim: 0.892whitespace
15QML Foundations × Chemistry Simulation and Materials
sim: 0.890whitespace

Competitor Map

49 quantum computing companies mapped across 20 domains — 3 domains with minimal competition

Competitor Whitespace
Topics with 0-1 companies — lowest competitive density
Reinforcement LearningReservoir ComputingFederated and Distributed
Funding by Domain
Total funding attracted per topic area ($ millions)
Company Coverage Grid
All 49 companies
IBM Quantum

Division of IBM building superconducting quantum processors and the Qiskit open-source SDK. Operates the largest fleet of cloud-accessible quantum systems and publishes an aggressive hardware roadmap toward 100,000+ qubits.

Public
Hardware and ImplementationAlgorithms and TheoryError Mitigation and NoiseQML FoundationsChemistry Simulation and MaterialsOptimization and QAOA
Founded 2016Yorktown Heights, NY, USA
Google Quantum AI

Google's quantum computing division that developed the Sycamore and Willow processors. Demonstrated quantum error correction breakthroughs and beyond-classical computation milestones.

Public
Hardware and ImplementationAlgorithms and TheoryError Mitigation and NoiseQML FoundationsChemistry Simulation and Materials
Founded 2014Santa Barbara, CA, USA
Quantinuum

Formed from the merger of Honeywell Quantum Solutions and Cambridge Quantum. Builds the highest-fidelity trapped-ion quantum computers (H-Series) and develops software for cryptography, chemistry, and QNLP.

Series C
Hardware and ImplementationApplications CybersecurityChemistry Simulation and MaterialsApplications NLP and LanguageError Mitigation and NoiseQML FoundationsAlgorithms and Theory
Founded 2021Broomfield, CO, USA / Cambridge, UK$625M raised
IonQ

Publicly traded trapped-ion quantum computing company offering cloud-accessible systems through major cloud providers. Active in QNLP, quantum ML, and enterprise applications; acquired Oxford Ionics and ID Quantique.

Public
Hardware and ImplementationApplications NLP and LanguageQML FoundationsNeural NetworksApplications Healthcare and BiologyApplications Finance and Economics
Founded 2015College Park, MD, USA$734M raised
Rigetti Computing

Publicly traded full-stack quantum computing company building superconducting multi-chip processors. Offers cloud access via Rigetti Quantum Cloud Services and the Forest SDK.

Public
Hardware and ImplementationAlgorithms and TheoryOptimization and QAOAVariational Methods
Founded 2013Berkeley, CA, USA$270M raised
D-Wave Systems

Pioneer in quantum annealing with over 5,000 qubits; also developing gate-model systems. Offers the Leap quantum cloud service and hybrid solvers targeting optimization problems in logistics, finance, and manufacturing.

Public
Hardware and ImplementationOptimization and QAOAApplications Finance and EconomicsApplications Energy and Engineering
Founded 1999Burnaby, BC, Canada$350M raised
PsiQuantum

Building a fault-tolerant photonic quantum computer using silicon photonics manufactured at GlobalFoundries. Raised $750M+ and has partnerships with governments of Australia and the US.

Series D
Hardware and ImplementationError Mitigation and NoiseAlgorithms and Theory
Founded 2016Palo Alto, CA, USA$1000M raised
Xanadu

Canadian photonic quantum computing company and creator of PennyLane, the leading open-source library for quantum machine learning and quantum differentiable programming. Pursuing fault-tolerant measurement-based quantum computing.

Series C
Hardware and ImplementationQML FoundationsNeural NetworksVariational MethodsGenerative ModelsKernel Methods
Founded 2016Toronto, ON, Canada$245M raised
QuEra Computing

Builds neutral-atom quantum computers capable of operating with hundreds of qubits. Active in quantum error correction research and reservoir computing, backed by Google Quantum AI and SoftBank.

Series B
Hardware and ImplementationError Mitigation and NoiseAlgorithms and TheoryReservoir ComputingApplications Healthcare and Biology
Founded 2018Boston, MA, USA$310M raised
Pasqal

French neutral-atom quantum computing company building programmable quantum processors and simulators. Deployed Saudi Arabia's first quantum computer and partners with major enterprises across energy, logistics, and finance.

Series B
Hardware and ImplementationOptimization and QAOAChemistry Simulation and MaterialsApplications Energy and EngineeringQML Foundations
Founded 2019Paris, France$140M raised
Atom Computing

Develops gate-based quantum computers using optically-trapped neutral atoms. Demonstrated a 1,225-qubit system and is advancing toward fault-tolerant quantum computing from facilities in Berkeley and Boulder.

Series B
Hardware and ImplementationError Mitigation and NoiseAlgorithms and Theory
Founded 2018Berkeley, CA, USA$101M raised
IQM Quantum Computers

European superconducting quantum computer manufacturer providing systems to national HPC centers in Finland, Germany, and Spain. Offers IQM Radiance (up to 150 qubits) and cloud access via IQM Resonance.

Series A2
Hardware and ImplementationApplications Energy and EngineeringOptimization and QAOA
Founded 2018Espoo, Finland$230M raised
ORCA Computing

UK-based photonic quantum computing company building fiber-based quantum processors using quantum memory technology. Partners with the UK Ministry of Defence and targets near-term ML acceleration.

Series A
Hardware and ImplementationQML FoundationsNeural Networks
Founded 2019London, UK$38M raised
Quantum Machines

Builds the OPX quantum control and orchestration platform used by over 50% of quantum computer developers worldwide. Raised $170M Series C in 2025 to scale control infrastructure for 10,000+ qubit systems.

Series C
Hardware and ImplementationError Mitigation and Noise
Founded 2018Tel Aviv, Israel$280M raised
Infleqtion (formerly ColdQuanta)

Develops cold-atom quantum technologies spanning computing, sensing, and networking. Won $11M DoD award for quantum clocks and advances neutral-atom quantum processors with high-fidelity measurements.

Series B
Hardware and ImplementationAlgorithms and TheoryApplications Cybersecurity
Founded 2007Austin, TX, USA$110M raised
SandboxAQ

Spun out of Alphabet, combines AI and quantum technologies (AQ). Develops Large Quantitative Models for drug discovery, materials science, cybersecurity, and navigation. Raised $300M+ in 2024.

Series E
Applications CybersecurityChemistry Simulation and MaterialsApplications Healthcare and BiologyQML FoundationsAlgorithms and Theory
Founded 2022Palo Alto, CA, USA$600M raised
QC Ware

Quantum chemistry and algorithms company developing the Promethium platform for molecular discovery with DFT-based scoring. Serves pharma, chemical, and materials industries with QC Score for drug discovery.

Series B
Chemistry Simulation and MaterialsAlgorithms and TheoryOptimization and QAOAApplications Healthcare and BiologyKernel Methods
Founded 2014Palo Alto, CA, USA$50M raised
Classiq Technologies

Develops a quantum computing software platform for high-level quantum algorithm design and circuit synthesis. Raised $110M Series C in 2025, the largest quantum software round ever.

Series C
Algorithms and TheoryOptimization and QAOAQML FoundationsVariational Methods
Founded 2020Tel Aviv, Israel$145M raised
Multiverse Computing

Develops quantum-inspired AI software, including CompactifAI for LLM compression (up to 95% reduction) and the Singularity platform for industrial optimization. Raised $215M Series B in 2025; approaching unicorn valuation.

Series B
Applications Finance and EconomicsOptimization and QAOANeural NetworksQML FoundationsApplications Energy and Engineering
Founded 2019San Sebastian, Spain$250M raised
Riverlane

The world leader in quantum error correction, building the Deltaflow QEC stack. Published a three-year roadmap targeting MegaQuOps by 2026. Partners with major quantum hardware manufacturers.

Series B
Error Mitigation and NoiseAlgorithms and TheoryHardware and Implementation
Founded 2016Cambridge, UK$45M raised
Q-CTRL

Provides quantum infrastructure software for error suppression, optimization, and performance enhancement. Works with Airbus on quantum-enhanced supply chain optimization and offers Fire Opal for automated error mitigation.

Series B
Error Mitigation and NoiseOptimization and QAOAApplications Energy and EngineeringQML Foundations
Founded 2017Sydney, Australia$68M raised
Phasecraft

Quantum algorithms company and the only firm partnering with Google, IBM, and Rigetti simultaneously. Market leader in quantum IP with breakthroughs in optimization and materials simulation. XPRIZE finalist.

Series A
Algorithms and TheoryChemistry Simulation and MaterialsOptimization and QAOAVariational Methods
Founded 2019London, UK$20M raised
Terra Quantum

Swiss quantum technology company offering hybrid quantum-classical solutions across optimization, ML, and cryptography. Develops a full-stack quantum platform with cloud access.

Series A
QML FoundationsOptimization and QAOAApplications CybersecurityNeural NetworksVariational Methods
Founded 2019Rorschach, Switzerland$75M raised
Zapata Quantum

Reemerged in 2025 after Zapata Computing's 2024 shutdown, retaining 50+ patents. Previously built Orquestra platform for quantum-enhanced enterprise AI. Targeting cryptography, pharma, and defense applications.

Restructured
Algorithms and TheoryGenerative ModelsApplications CybersecurityVariational Methods
Founded 2017Boston, MA, USA$30M raised
1QBit

Vancouver-based quantum software company developing algorithms for optimization, simulation, and ML. Partners with IBM, Fujitsu, and financial institutions including Siam Commercial Bank.

Series B
Algorithms and TheoryOptimization and QAOAApplications Finance and EconomicsChemistry Simulation and Materials
Founded 2012Vancouver, BC, Canada$45M raised
Strangeworks

Provides a quantum computing ecosystem platform that aggregates access to multiple quantum hardware providers and simulators. Simplifies quantum development and deployment for enterprises.

Series A
QML FoundationsAlgorithms and TheorySurveys Reviews and Benchmarks
Founded 2018Austin, TX, USA$30M raised
Qubit Pharmaceuticals

French drug discovery company using quantum physics and AI for ultra-precise molecular simulations. Claims highest accuracy in solving Schrodinger's equation for molecular design across major disease targets.

Series A
Chemistry Simulation and MaterialsApplications Healthcare and BiologyAlgorithms and Theory
Founded 2020Paris, France$50M raised
PolarisQB

Uses quantum annealing on D-Wave systems for Quantum-Aided Drug Design (QuADD). Demonstrated quantum advantage over generative AI in lead identification, compressing pre-clinical timelines from years to months.

Seed
Applications Healthcare and BiologyOptimization and QAOAChemistry Simulation and Materials
Founded 2020Durham, NC, USA$2M raised
Qognitive

Develops Quantum Cognition Machine Learning (QCML), creating quantum-inspired analytical AI models that outperform traditional methods on high-dimensional structured data. Applications in finance and healthcare.

Seed
QML FoundationsNeural NetworksApplications Finance and EconomicsApplications Healthcare and BiologyKernel Methods
Founded 2021New York, NY, USA$5M raised
Seeqc

Builds digital quantum computing systems using single flux quantum (SFQ) chip-based technology. Develops co-designed, application-specific quantum systems for pharma, finance, and energy.

Series A
Hardware and ImplementationApplications Healthcare and BiologyApplications Finance and EconomicsApplications Energy and Engineering
Founded 2018Elmsford, NY, USA$30M raised
Quandela

French photonic quantum computing company building single-photon-based quantum processors. Achieved 20,000x acceleration in spin-photon simulations with NVIDIA CUDA-Q. First QPU on OVHcloud platform.

Series A
Hardware and ImplementationGenerative ModelsQML Foundations
Founded 2017Paris, France$20M raised
ISARA Corporation

Specializes in crypto-agile and quantum-safe security solutions including agentless cryptographic asset discovery, posture scoring, and post-quantum cryptographic toolkit for embedded systems.

Series A
Applications Cybersecurity
Founded 2015Waterloo, ON, Canada$15M raised
Crypto Quantique

Develops quantum-driven cybersecurity solutions combining quantum physics with cryptography for IoT device security. Creates hardware root-of-trust using quantum tunneling effects.

Series A
Applications CybersecurityHardware and Implementation
Founded 2016London, UK$8M raised
Horizon Quantum Computing

Builds development tools that enable software developers to write quantum applications without quantum physics expertise. Focuses on making quantum computing accessible to mainstream programmers.

Series A
Algorithms and TheoryQML Foundations
Founded 2018Singapore$24M raised
QpiAI

Indian quantum computing and AI company building quantum processors and developing quantum ML solutions for healthcare, materials, and optimization across classical and quantum platforms.

Series A
QML FoundationsNeural NetworksOptimization and QAOAApplications Healthcare and Biology
Founded 2019Bangalore, India$10M raised
Qolab

VC-backed startup developing utility-scale superconducting quantum computers with best-in-class coherence and reliability. Partners with domain experts in fabrication, control electronics, and HPC.

Seed
Hardware and Implementation
Founded 2023New York, NY, USA$5M raised
BQP (Blueqat Quantum Platform)

Develops quantum computational fluid dynamics (QCFD) solutions, achieving 100x circuit compression with Classiq and NVIDIA. Raised $5M seed round; targets engineering and aerospace applications.

Seed
Applications Energy and EngineeringAlgorithms and TheoryVariational Methods
Founded 2022Bangalore, India$5M raised
Menten AI

Applies quantum computing to protein design and drug discovery. Uses quantum-classical hybrid approaches to design novel peptide therapeutics with improved binding properties.

Seed
Applications Healthcare and BiologyChemistry Simulation and MaterialsOptimization and QAOA
Founded 2018San Francisco, CA, USA$4M raised
Aqemia

French AI and deep physics drug discovery company using quantum-mechanics-inspired generative AI to invent new drugs at scale. Combines statistical mechanics with deep learning for molecular design.

Series A
Applications Healthcare and BiologyChemistry Simulation and MaterialsGenerative Models
Founded 2019Paris, France$30M raised
Quantum Computing Inc. (QCi)

Publicly traded company offering photonic quantum optimization solutions via its Dirac entropy quantum computing platform. Targets optimization across logistics, finance, and image processing.

Public
Optimization and QAOAApplications Image and VisionApplications Finance and Economics
Founded 2018Hoboken, NJ, USA$50M raised
Oxford Quantum Circuits (OQC)

UK quantum computing company building superconducting processors with proprietary Coaxmon qubit technology. Offers quantum computing as a service and partners with enterprise clients across sectors.

Series B
Hardware and ImplementationQML FoundationsAlgorithms and Theory
Founded 2017Oxford, UK$100M raised
Agnostiq

Develops Covalent, an open-source workflow orchestration platform for quantum and high-performance computing. Enables researchers to manage hybrid quantum-classical workflows across distributed resources.

Seed
Federated and DistributedAlgorithms and TheoryQML Foundations
Founded 2018Toronto, ON, Canada$8M raised
Entropica Labs

Singapore-based quantum software startup developing variational quantum algorithms and quantum ML tools for near-term quantum devices. Focuses on QAOA, VQE, and quantum kernel methods.

Seed
Variational MethodsOptimization and QAOAKernel MethodsQML Foundations
Founded 2018Singapore$4M raised
Qunasys

Japanese quantum software company developing algorithms for quantum chemistry simulation and materials design. Builds tools for variational quantum eigensolvers and quantum-classical hybrid methods.

Series A
Chemistry Simulation and MaterialsVariational MethodsAlgorithms and Theory
Founded 2018Tokyo, Japan$12M raised
GTN (Global Technology Navigator)

Develops quantum-classical hybrid solutions for image recognition, signal processing, and computer vision using parameterized quantum circuits and quantum convolutional networks.

Seed
Applications Image and VisionNeural NetworksQML Foundations
Founded 2020Tokyo, Japan$3M raised
Qryptonic

Post-quantum cybersecurity company offering cryptographic vulnerability assessments and PQC migration services. Tests on IBM, AWS, Azure, and Google quantum hardware. SOC 2 compliant.

Seed
Applications Cybersecurity
Founded 2023New York, NY, USA$3M raised
Query Machines

Develops quantum-enhanced deep learning architectures that integrate superposition, entanglement, and quantum search algorithms to overcome limitations in classical AI reasoning capabilities.

Seed
Neural NetworksQML FoundationsReinforcement LearningAlgorithms and Theory
Founded 2022London, UK$2M raised
Quobly

French deep-tech startup developing silicon-based quantum processors leveraging semiconductor fabrication expertise. Partnered with SEALSQ on secure quantum semiconductor architectures.

Series A
Hardware and ImplementationApplications Cybersecurity
Founded 2022Grenoble, France$19M raised
QBraid

Provides a cloud platform and SDK for accessing quantum hardware and simulators from multiple providers. Offers educational tools and a unified development environment for quantum computing research.

Seed
Surveys Reviews and BenchmarksQML FoundationsAlgorithms and Theory
Founded 2020Chicago, IL, USA$5M raised