01
IBM Quantum
Superconducting · Best for: Enterprise Ecosystem, Scale, Hybrid Quantum-Classical Workflows
IBM Quantum holds the #1 position not because it leads every technical metric, but because it leads on the dimension that matters most for enterprise adoption: ecosystem depth. IBM has built the largest quantum developer community in the world through IBM Quantum Network — providing cloud access to its Heron, Nighthawk, and Condor processors through Qiskit, its open-source quantum SDK with over 550,000 registered users. No other company has translated quantum technology into enterprise workflows at IBM's scale.
IBM's hardware roadmap is among the most credible in the industry. The company targets fault-tolerant quantum computers by 2029, with its Heron processor (announced late 2023) delivering the lowest two-qubit error rates in IBM's history. In November 2024, IBM announced its most advanced quantum computers to date — systems engineered for enhanced performance, greater stability, and improved scalability. IBM is on track for fault-tolerant machines by 2029. The quantum hardware division benefits from IBM Research's massive infrastructure budget and the company's ability to combine quantum access with its consulting and hybrid cloud businesses — creating commercial pathways that pure-play hardware companies cannot replicate.
- IBM Quantum Network: 550,000+ registered Qiskit developers
- Heron processor: lowest two-qubit error rates in IBM history
- Fault-tolerant quantum computing roadmap targeting 2029
- Qiskit open-source SDK with largest quantum developer ecosystem
- IBM Quantum System Two for modular multi-processor architecture
- November 2024: most advanced quantum computers announced
Use Cases
Financial Risk Modeling Drug Discovery Simulation Supply Chain Optimization Materials Science Quantum Machine Learning
Proof Point: IBM's quantum division benefits from an R&D budget that dwarfs all pure-play quantum companies combined, a sales organization spanning 177 countries, and a consulting arm (IBM Consulting) that can package quantum solutions into enterprise transformation programs. No competitor replicates this go-to-market infrastructure, which is why IBM's quantum commercial traction is materially ahead of hardware-equal competitors.
TechDogs Verdict
IBM Quantum is the safest enterprise quantum bet in 2026 — not the flashiest, but the most complete. Its combination of hardware scale, open-source ecosystem, cloud access, and consulting delivery channels means that enterprises can start quantum experimentation today and scale within a familiar vendor relationship. If you are building a quantum strategy with a 5-year horizon, IBM's ecosystem is where you start. The 2029 fault-tolerance target, if achieved, changes the value proposition completely.
02
Google Quantum AI
Superconducting · Best for: Error Correction Research, Quantum Supremacy, Long-Term Scientific Advance
Google Quantum AI made history in October 2025 in a way that all previous quantum milestones did not: it demonstrated the first verifiable, repeatable quantum advantage on hardware — a result published in Nature, independently validated, and not replicable by any classical supercomputer. This was not a narrow sampling task cherry-picked for optics. It was a genuine scientific milestone that shifted the industry question from "if" to "when."
The breakthrough followed Google's Willow chip (December 2024), which demonstrated that error rates decrease as the system scales — a critical proof point for error-corrected, fault-tolerant quantum computing. Google is investing billions in quantum error correction research, and its Quantum AI division has partnerships with leading academic institutions worldwide. Google Ventures has also made strategic investments in pure-play firms including QuEra, giving the company both direct research capability and portfolio exposure across the broader ecosystem. Access to Google's quantum systems is available through Google Cloud and select research partnerships.
- First verifiable quantum advantage: October 2025, published in Nature
- Willow chip (Dec 2024): error rates decrease as system scales
- Billions committed to quantum error correction R&D
- Google Ventures investment in QuEra (neutral-atom exposure)
- Access via Google Cloud and research partnerships
- Quantum AI division targeting fault-tolerant systems
Use Cases
Quantum Chemistry Research Error Correction Benchmarking AI-Quantum Hybrid Models Materials Discovery Climate Modeling
Proof Point: Google's October 2025 quantum advantage result was published in Nature and independently validated — the first time any quantum computer demonstrated a repeatable result that no classical machine can replicate. The Willow chip's demonstration that error rates improve with scale is the most important technical proof point in the history of quantum error correction research, and it directly validates the long-term feasibility of fault-tolerant quantum computing.
TechDogs Verdict
Google Quantum AI is the technical frontier leader in 2026. Its quantum advantage demonstration and Willow chip error correction results are the most significant experimental achievements in the field. Its position at #2 rather than #1 reflects that enterprise accessibility and commercial ecosystem are still more limited than IBM's — Google's quantum systems are primarily accessible to researchers and large enterprise partners rather than the broader developer community. For organizations doing cutting-edge quantum research or early enterprise pilots, Google's hardware is unmatched.
03
Microsoft Azure Quantum
Topological + Multi-Hardware · Best for: Quantum Platform, Hybrid Classical-Quantum, Enterprise AI+Quantum
Microsoft is making the most distinctive — and highest-risk, highest-reward — bet in quantum computing. While IBM and Google pursue superconducting qubit scale and Google demonstrates narrowly defined quantum advantage, Microsoft is building topological qubits using Majorana fermions. Its February 2025 Majorana 1 chip targets reduced error rates and a radical scaling pathway toward millions of qubits on a single chip — something superconducting architectures may never achieve. If topological qubits work as theorized, Microsoft wins the long game decisively.
In parallel, Azure Quantum is the most complete quantum cloud platform today — offering access to Quantinuum, IonQ, and Microsoft's own hardware under a unified interface. Microsoft's 2025 collaboration with Quantinuum achieved high-fidelity entanglement of 12 logical qubits; they are co-developing a 24-logical-qubit commercial system with Atom Computing. Microsoft has also open-sourced its Azure Quantum Resource Estimator and added post-quantum cryptography (PQC) capabilities to SymCrypt — its cryptographic library used across Azure and Microsoft 365 — making it immediately relevant for organizations that need to act on quantum security today, not in a decade.
- Majorana 1 chip (Feb 2025): topological qubits for radical scaling
- Azure Quantum platform: access to IonQ, Quantinuum, Atom Computing
- 12 logical qubit entanglement with Quantinuum (2025)
- Post-quantum cryptography in SymCrypt (Azure + M365)
- Azure Quantum Resource Estimator open-sourced
- Q# programming language + Azure Quantum Elements for chemistry
Use Cases
Post-Quantum Cryptography Quantum Chemistry (Materials) Enterprise Hybrid Quantum Workflows AI-Accelerated Science Quantum Resource Planning
Proof Point: Microsoft's post-quantum cryptography integration into SymCrypt — the cryptographic library running across Azure and Microsoft 365 — is the most immediately enterprise-relevant quantum action on this list. While other companies compete on qubit counts, Microsoft is already protecting its customer base from the quantum threat that will materialize in the next decade, delivering practical quantum security value years before fault-tolerant machines arrive.
TechDogs Verdict
Microsoft Azure Quantum is the most complete quantum platform for enterprise organizations that need quantum-readiness today and quantum advantage tomorrow. Its PQC integration is immediately relevant. Azure Quantum's multi-vendor hardware access is the most practical quantum cloud offering for enterprise experimentation. The topological qubit bet is the highest-stakes in the industry — if it works, Microsoft leapfrogs everyone. If it doesn't, the platform still has enormous value. For enterprise technology leaders, Azure Quantum is the safest place to build a quantum strategy that spans both today and 2030.
04
IonQ
Trapped-Ion · Best for: High-Fidelity Commercial NISQ, Enterprise Quantum Access Across All Clouds
IonQ is the defining commercial story of quantum computing in 2026. With $130.0 million in annual GAAP revenue for FY2025 — a 202% year-over-year increase, exceeding guidance by 20% — it is the first pure-play quantum company in history to surpass $100M in annual revenue. More than 60% came from commercial customers; over 30% from international markets. IonQ is guiding for $225–245 million in 2026 revenue, with $3.3 billion in cash and investments as of December 31, 2025 — the strongest balance sheet in the pure-play quantum sector. Its Forte Enterprise system, which reached 36 algorithmic qubits (AQ36) in December 2024, is available across all three major public cloud services (AWS Braket, Azure Quantum, and Google Cloud), making it the most accessible enterprise quantum hardware in the market.
Trapped-ion technology gives IonQ a structural fidelity advantage over superconducting systems. Ions are identical by nature, requiring no individual calibration, and IonQ's acousto-optic deflector (AOD) technology enables precise laser targeting for reduced noise and improved scalability. IonQ is vertically integrating through strategic acquisitions, has a 2026 deal with the University of Cambridge for a joint quantum computing hub, and is targeting millions of qubits by 2029. Its pending $1.8 billion acquisition (announced January 2026) signals the consolidation phase beginning in the sector.
- $130M FY2025 GAAP revenue (+202% YoY); 60% commercial, 30% international
- 2026 revenue guidance: $225–$245M midpoint at $235M
- $3.3B cash and investments — strongest balance sheet in pure-play quantum
- Forte Enterprise: AQ36 (36 algorithmic qubits) — available on all 3 clouds
- DARPA QBI program advancement; $1.8B SkyWater acquisition pending (Q2–Q3 2026)
- Acquisitions: Qubitekk (networking), ID Quantique (security), Capella Space
Use Cases
Financial Portfolio Optimization Quantum Machine Learning Drug Discovery Aerospace & Defense AI Logistics Optimization
Proof Point: IonQ's $130M GAAP revenue for FY2025 — 202% year-over-year growth, 60% from commercial customers, 30% international — with 2026 guidance of $225–245M and $3.3B cash on hand (per SEC filing, February 2026) is the most definitive commercial proof point in quantum computing. The revenue milestone is verified from IonQ's official earnings release. Availability across all three hyperscale cloud platforms simultaneously means no enterprise is locked out of IonQ access regardless of cloud infrastructure preference.
TechDogs Verdict
IonQ is the commercial execution leader in quantum computing. $100M+ in GAAP revenue, availability on all three major clouds, DARPA QBI advancement, and a credible scaling roadmap make it the pure-play quantum company with the most complete enterprise-ready profile in 2026. Short-seller scrutiny around its technical claims is a watch item, but the revenue milestone is independently verified. For organizations making their first enterprise quantum investment, IonQ's cloud accessibility and commercial maturity are compelling starting points.
05
Quantinuum
Trapped-Ion · Best for: Fidelity Leadership, Quantum Chemistry, Cybersecurity Applications
Quantinuum — formed from the 2021 merger of Honeywell Quantum Solutions and Cambridge Quantum Computing — is the fidelity leader of the quantum computing industry. Its H-Series trapped-ion systems deliver industry-leading gate fidelities, and its Helios system offers 56 physical qubits with 48 logical qubits — the highest ratio of logical to physical qubits of any commercial system. Quantinuum pairs hardware excellence with a comprehensive software stack: the TKET compiler, InQuanto (quantum chemistry), Lambeq (quantum natural language processing), and a quantum cybersecurity suite under the Cambridge Quantum brand.
In 2025, Quantinuum raised $600 million (backed by NVIDIA, among others) in a round that valued the company at several billion dollars, making it one of the most highly capitalized private quantum companies globally. A confidential S-1 was filed in January 2026 — Bloomberg reported discussions about what could be the largest quantum IPO in history. Microsoft collaboration produced 12-logical-qubit entanglement. Honeywell holds a 54% ownership stake and will supply Quantinuum with hardware and operational infrastructure as it scales.
- Helios: 56 physical / 48 logical qubits — highest ratio commercially
- Industry-leading gate fidelities in trapped-ion systems
- $600M raise (2025) backed by NVIDIA; multi-billion valuation
- Confidential S-1 filed Jan 2026 — potential largest quantum IPO
- TKET compiler + InQuanto chemistry + Lambeq NLP software stack
- DARPA QBI program advancement
Use Cases
Pharmaceutical Drug Discovery Quantum Cybersecurity Financial Risk Analysis Materials Science Simulation Quantum Chemistry
Proof Point: NVIDIA's $600M investment in Quantinuum (September 2025) — one of three quantum hardware bets NVIDIA made in a single week — reflects the company's assessment that Quantinuum's trapped-ion hardware represents a viable path to commercial quantum advantage. NVIDIA's investment strategy is historically prescient; its backing of Quantinuum is one of the strongest third-party endorsements of any quantum company's technology and trajectory.
TechDogs Verdict
Quantinuum is the highest-fidelity, most software-complete pure-play quantum company in 2026. Its logical qubit ratio, software stack breadth, NVIDIA backing, and pending IPO make it the company with the most compelling near-term commercial story outside of IonQ. For enterprises where accuracy is non-negotiable — pharmaceutical simulation, quantum cryptography, financial risk modeling — Quantinuum's systems offer a fidelity advantage no competitor currently matches. The IPO, when it happens, will be a defining moment for the entire sector.
06
D-Wave Quantum
Quantum Annealing + Gate-Model · Best for: Real-World Optimization Problems, Commercial Quantum Today
D-Wave occupies a unique position in this list: it is the only company selling commercially deployed quantum computers to enterprise customers — not access to quantum hardware through a cloud service, but actual installed systems. It was the first company to sell a quantum computer to an American defense company (Lockheed Martin) and has been generating real revenue from real customers for over a decade. Its fiscal year 2025 revenue of $24.6 million represented a 179% year-over-year increase, with $16.2 million coming from system sales — evidence of enterprise willingness to pay for deployed quantum hardware.
D-Wave's latest Advantage prototype (released February 2024, over 1,200 qubits) is accessible through its Leap quantum cloud service. Crucially, D-Wave demonstrated "quantum supremacy on a useful real-world problem" in 2024 — making it only the second company (after Google) to demonstrate any form of quantum advantage, and the first to do so on a practical optimization task rather than a sampling benchmark. D-Wave is also the only company building both quantum annealing and gate-model systems, hedging its modality bet as the technology evolves.
- Only company with physically deployed quantum systems in enterprise
- FY2025 revenue: $24.6M (+179% YoY); $800M total investment raised
- Advantage prototype: 1,200+ qubits via Leap cloud service
- Demonstrated quantum advantage on a real-world optimization problem
- Building both annealing AND gate-model quantum systems
- First company to sell a quantum computer to a US defense company
Use Cases
Supply Chain Optimization Financial Portfolio Optimization Traffic Flow Management Drug Candidate Screening Defense & Logistics Planning
Proof Point: D-Wave's FY2025 revenue of $24.6 million at a 179% growth rate — with $16.2 million from system sales — is the clearest proof on this list that enterprise customers are making real budget commitments to quantum hardware today. D-Wave is not selling aspiration; it is selling deployed systems with signed contracts and repeat customers. Its quantum advantage demonstration on a practical optimization problem makes it the only company to have shown both commercial deployment scale and problem-specific quantum advantage simultaneously.
TechDogs Verdict
D-Wave is the most commercially grounded quantum computing company on this list. While others debate theoretical advantage, D-Wave is generating revenue from deployed systems in enterprise environments. Its annealing technology is inherently limited to optimization-class problems — it is not a general-purpose quantum computer — but for organizations where optimization is the primary quantum use case (supply chain, logistics, scheduling, financial portfolio), D-Wave delivers real, provable value today. The dual-modality bet (annealing + gate-model) is strategically smart insurance.
07
Rigetti Computing
Superconducting · Best for: Hybrid Quantum-Classical Workflows, Research, Defense
Rigetti Computing is a full-stack quantum company — designing and manufacturing its own superconducting quantum chips, integrating them with digital control systems, and offering a hybrid quantum-classical platform that blends quantum processors with classical computing for practical hybrid workloads. Its Quantum Cloud Services (QCS) platform and presence on AWS Braket give researchers and enterprise teams structured access to its systems. The Ankaa-2 processor (84 qubits, integrated into AWS Braket in 2024) is Rigetti's most advanced superconducting system.
Rigetti has a 2021 deal with Raytheon Technologies (RTX) for AI and quantum computing in aerospace, defense, and intelligence — the U.S. government being a top revenue customer. Its stock reached extreme highs in 2024–2025 before corrections in 2026, reflecting the speculative premium embedded across many pure-play quantum equities. Rigetti's path to commercial leadership runs through manufacturing scale and hybrid workflow differentiation — areas where it is executing but at a slower pace than IonQ's commercial traction or Quantinuum's fidelity leadership.
- Full-stack: designs and manufactures own superconducting chips
- Ankaa-2: 84-qubit processor, integrated into AWS Braket (2024)
- QCS (Quantum Cloud Services) + AWS Braket access
- Raytheon Technologies (RTX) defense partnership (2021)
- Hybrid quantum-classical platform for practical workloads
- Publicly traded (RGTI) on US exchanges
Use Cases
Aerospace & Defense Optimization Research & Development Hybrid Algorithm Development Financial Modeling Government Intelligence Applications
Proof Point: Rigetti's Raytheon Technologies partnership for AI and quantum computing in aerospace, defense, and intelligence represents one of the most significant commercial validation points for any superconducting quantum hardware company — a Fortune 100 defense contractor committing to a multi-year quantum development relationship reflects confidence in Rigetti's technology beyond what speculative retail investment provides.
TechDogs Verdict
Rigetti is in the most competitive position on this list — a credible full-stack superconducting company executing on hardware manufacturing and hybrid workflows, but squeezed between IBM's scale above and IonQ's commercial traction and cloud ubiquity to its side. Its defense relationships and hybrid workflow differentiation are genuine strategic assets. For enterprises in aerospace, defense, and hybrid algorithm development, Rigetti offers a compelling combination of accessible hardware and manufacturing control. The path to commercial leadership requires continued execution on its hardware roadmap and deeper enterprise sales motion.
08
PsiQuantum
Photonic · Best for: Fault-Tolerant Scale (Long-Term Bet), Silicon Photonics Manufacturing
PsiQuantum is making the most audacious single bet in quantum computing: that photonic qubits fabricated using standard silicon semiconductor manufacturing will be the only viable path to a million-qubit, fault-tolerant quantum computer. While competitors build hundreds or thousands of superconducting or trapped-ion qubits, PsiQuantum is skipping the NISQ phase entirely and building toward fault-tolerant scale from day one — using GlobalFoundries semiconductor fabs to manufacture photonic chips at volume.
In 2025, NVIDIA invested $1 billion (Series E) in PsiQuantum — one of three quantum modality bets NVIDIA made in a single week. Australia committed $250 million for PsiQuantum to build a utility-scale photonic quantum computer in Brisbane; the company is simultaneously building in Chicago. Total funding exceeds $1.4 billion at a $7+ billion valuation. DARPA QBI advancement confirms independent technical validation. The trade-off is time: PsiQuantum's photonic architecture is not yet commercially accessible — it is in the build phase, targeting utility-scale operations in the late 2020s.
- Photonic qubits using silicon semiconductor manufacturing at volume
- $1B NVIDIA-backed Series E; $1.4B+ total funding; $7B+ valuation
- Building simultaneously in Brisbane (AUS $250M) and Chicago
- DARPA QBI advanced — independent technical validation
- GlobalFoundries manufacturing partnership for photonic chips
- Targeting fault-tolerant million-qubit scale — skipping NISQ phase
Use Cases
Fault-Tolerant Computing (Future) Climate Modeling at Scale Pharmaceutical Simulation Financial Systems Optimization National Security Applications
Proof Point: Australia's $250 million government commitment — not a grant or research contract, but a capital commitment to build utility-scale photonic quantum computing infrastructure — reflects the highest level of government conviction in any single quantum technology bet globally. Combined with NVIDIA's $1B investment, PsiQuantum has more third-party institutional validation than any other pre-commercial quantum company.
TechDogs Verdict
PsiQuantum is the highest-conviction long-term bet in quantum computing. If photonic silicon manufacturing works as theorized, PsiQuantum wins the fault-tolerant quantum race because manufacturing at semiconductor fab scale is the only credible path to millions of qubits. If it doesn't, $1.4 billion disappears and the field shifts to other architectures. The position at #8 reflects commercial accessibility today — it offers nothing enterprise users can access now. But for understanding where the biggest institutional money is going long-term, PsiQuantum is the most important company on this list to watch.
09
AWS Amazon Braket
Multi-Hardware Platform · Best for: Enterprise Quantum Access, Hardware Comparison, Developer Onboarding
AWS Amazon Braket is the most accessible quantum computing platform for the broadest range of enterprise users. Rather than developing its own quantum hardware, Amazon built a managed service that provides unified access to quantum processors from multiple hardware vendors — including Rigetti (superconducting), IonQ (trapped-ion), D-Wave (annealing), QuEra (neutral-atom), Oxford Quantum Circuits (superconducting), and Xanadu (photonic). This hardware-agnostic architecture lets enterprises experiment with different qubit modalities through a single familiar interface without betting on any single technology.
Braket's business model — pay-as-you-go through the AWS ecosystem — dramatically lowers the barrier to quantum experimentation. The 2023 Braket Direct program allows reservation-based exclusive access to high-performance quantum devices. The Quantum Embark Program provides a structured enterprise onboarding path from use-case discovery to algorithm development. Amazon continues parallel quantum hardware R&D through its internal Palace electromagnetics simulation tool. Braket integrates natively with SageMaker for ML-quantum hybrid workflows and the full AWS data and analytics stack.
- Multi-vendor hardware: Rigetti, IonQ, D-Wave, QuEra, OQC, Xanadu
- Pay-as-you-go, integrated with full AWS ecosystem
- Braket Direct: reservation-based exclusive device access
- Quantum Embark Program for enterprise onboarding
- SageMaker integration for ML-quantum hybrid pipelines
- Free local simulator + SV1, TN1, DM1 simulation suite
Use Cases
Quantum Algorithm Research Hardware Modality Comparison Developer Education & Onboarding Hybrid Quantum-Classical ML Enterprise Quantum Pilots
Proof Point: AWS Braket's multi-vendor hardware architecture — supporting six different quantum hardware providers across four distinct qubit modalities — is the only platform that lets an enterprise team compare trapped-ion vs. superconducting vs. neutral-atom performance on the same application workload through a unified API. This hardware optionality is uniquely valuable in a market where no single modality has emerged as definitively superior.
TechDogs Verdict
AWS Braket is the best starting point for enterprises making their first quantum investment — familiar infrastructure, pay-as-you-go pricing, multi-vendor hardware access, and structured enterprise onboarding programs make the quantum experimentation threshold lower than any alternative. Its position at #9 reflects that it is a platform, not a hardware company — its value is entirely derivative of the quality of the quantum hardware it hosts. As that hardware improves across its vendor ecosystem, Braket's value to enterprise users increases proportionally without requiring Amazon to win any technology bets.
10
NVIDIA CUDA-Q
GPU-QPU Bridge · Best for: Quantum-Classical Integration, Simulation at Scale, Strategic Positioning
NVIDIA is not a quantum hardware company — but in September 2025, it became the most strategically active investor in quantum computing by backing Quantinuum ($600M), PsiQuantum ($1B), and QuEra (undisclosed) in a single week, covering trapped-ion, photonic, and neutral-atom modalities simultaneously. This was not a speculative financial bet — it was NVIDIA positioning itself as the essential integration layer between quantum processors and the classical GPU infrastructure that will always be required to run hybrid quantum-classical algorithms.
CUDA-Q is NVIDIA's quantum computing platform — an open-source framework that provides a unified programming model for hybrid CPU+GPU+QPU computing. It integrates with IBM, IonQ, Quantinuum, Rigetti, QuEra, and 20+ other quantum hardware providers through a common API, enabling developers to write algorithms once and run them on any combination of classical and quantum hardware. NVIDIA's Quantum Computing Center provides high-performance quantum circuit simulation on H100 GPUs at a scale no quantum hardware company can match today — enabling algorithm development that outpaces what today's NISQ devices can execute directly.
- $2.6B+ invested in Quantinuum, PsiQuantum, and QuEra (Sept 2025)
- CUDA-Q: open-source CPU+GPU+QPU unified programming model
- Integrates with 20+ quantum hardware providers
- NVIDIA Quantum Computing Center: H100 GPU quantum simulation
- CUDA-Q partners: Alice & Bob, Anyon, Atom, IonQ, IQM, Pasqal, QuEra, Rigetti, Xanadu, and more
- "Picks and shovels" position — wins regardless of which modality dominates
Use Cases
Quantum Circuit Simulation Hybrid Algorithm Development Quantum ML Research Cross-Platform Quantum Deployment Quantum Error Simulation
Proof Point: NVIDIA's September 2025 quantum investment week — three separate companies, three separate qubit modalities, totalling over $1.6B in disclosed investments — is the single most important signal about where the industry is heading. NVIDIA does not make speculative bets; it invests in infrastructure that it expects to sell GPU compute against. Its investment in quantum is a declaration that GPU-QPU hybrid computing is a real product category, and NVIDIA intends to own the integration layer.
TechDogs Verdict
NVIDIA CUDA-Q is the "picks and shovels" play in quantum computing — it wins regardless of which qubit modality ultimately dominates because every quantum computer needs classical co-processing, simulation, and GPU-accelerated algorithms. For enterprises building quantum capabilities, CUDA-Q provides the most hardware-agnostic development environment available and the only framework that will remain relevant as the hardware landscape evolves. NVIDIA's position in quantum is not about quantum hardware — it is about ensuring that the transition to quantum-classical hybrid computing runs on NVIDIA infrastructure.
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