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Artificial Intelligence  ·  11 Aug 2025

Quantum Computing Investment Thesis: Beyond the Hype to 2028 Reality | LeverVenture

The quantum computing value chain from hardware to applications Quantum computing has entered its "crossing the chasm" moment.

José VasquézBy José Vasquéz, Managing Partner 8 min read  ·  Artificial Intelligence
In this note08 · 8 min
  1. The State of Quantum: Technology Readiness in 2025
  2. Investment Landscape: The Value Chain
  3. Commercial Viability Timeline: When Will Quantum Matter?
  4. Investment Evaluation Framework
  5. Risk Factors and Mitigation
  6. Current Investment Opportunities: 2025 Landscape
  7. Conclusion: Positioned for the Quantum Future
  8. Related Insights

Quantum computing has entered its "crossing the chasm" moment. IBM's Condor processor hit 1,121 qubits in late 2024. Google achieved quantum advantage in optimization problems. Atom Computing demonstrated 1,225 qubit arrays with logical qubit coherence times exceeding 10 seconds. The technology is no longer theoretical—it's transitioning from research labs to commercial applications.

For growth equity investors, quantum presents a unique challenge: the technology is real, transformative potential is massive, but commercial timelines remain uncertain and capital requirements are enormous. The question isn't whether quantum computing will matter—it's when, where, and who will capture the value. Based on our analysis of the ecosystem and discussions with leading researchers and commercial teams, investable opportunities are emerging across the value chain.

01The State of Quantum: Technology Readiness in 2025

Quantum computing has progressed through three distinct phases. We're now entering the fourth:

Phase 1: Proof of Concept (2015-2020)

Academic demonstrations proved quantum mechanics could perform computations. Google's quantum supremacy announcement in 2019 marked the milestone—solving in 200 seconds a problem requiring 10,000 years on classical supercomputers.

Phase 2: NISQ Era (2020-2024)

Noisy Intermediate-Scale Quantum devices with 50-1,000 qubits emerged. High error rates limited applications, but research accelerated on error correction, control systems, and algorithms.

Phase 3: Logical Qubits (2024-2026)

We're here now. Companies are demonstrating logical qubits—error-corrected collections of physical qubits that maintain coherence long enough for useful computation. IBM's roadmap targets 4,000+ qubit systems by 2026. IonQ reports 99.9% gate fidelity. Progress is accelerating.

Phase 4: Commercial Applications (2026-2030)

The emerging phase where quantum computers solve economically valuable problems classical computers cannot. Initial applications in drug discovery, materials science, financial optimization, and cryptography are beginning pilots with Fortune 500 companies.

"Quantum computing is where AI was in 2015—on the cusp of practical utility. The companies positioning now in the value chain will define the next decade of computing."

02Investment Landscape: The Value Chain

Quantum computing value creation spans four layers, each with distinct risk-return profiles:

Layer 1: Hardware and Infrastructure ($15B+ invested)

Superconducting Qubits (IBM, Google, Rigetti):

  • Most mature technology with proven scalability path
  • Requires extreme cooling (15 millikelvin) = expensive infrastructure
  • Best for cloud-accessible quantum computing as a service
  • Investment required: $500M-$2B to reach commercial scale

Trapped Ion Systems (IonQ, Honeywell/Quantinuum):

  • Higher gate fidelity (99.9% vs 99.5% for superconducting)
  • Operates at room temperature (lower operational costs)
  • Scaling challenges due to ion trap engineering complexity
  • Best for precision applications requiring low error rates

Neutral Atoms (Atom Computing, QuEra):

  • Highest qubit density (1,225+ qubits demonstrated)
  • Excellent coherence times
  • Earlier stage but rapid progress
  • Potential dark horse for large-scale systems

Photonic Quantum (Xanadu, PsiQuantum):

  • Room temperature operation
  • Leverages existing semiconductor manufacturing
  • Scales differently than matter-based qubits
  • PsiQuantum raised $665M betting on this approach

Investment Thesis: Hardware is capital-intensive with winner-take-most dynamics. Too early for growth equity—venture and strategic corporates dominate. Exception: Component suppliers (cryogenic systems, control electronics, optical components) offer lower-risk infrastructure plays.

Layer 2: Software and Middleware ($3B invested)

The quantum software stack mirrors classical computing but requires entirely new approaches:

Development Frameworks:

  • Qiskit (IBM), Cirq (Google), Q# (Microsoft) - mostly open source
  • Commercial opportunities in higher-level abstractions
  • Domain-specific languages for chemistry, optimization, ML

Algorithm Development:

  • Companies building quantum algorithm libraries for specific industries
  • Drug discovery, materials science, financial optimization
  • Hybrid classical-quantum algorithms showing near-term utility

Error Correction and Compilation:

  • Critical bottleneck: converting logical operations to physical qubit instructions
  • Companies like Q-CTRL developing error suppression middleware
  • 30-50% performance improvements through better compilation

Investment Thesis: Software opportunities emerging for growth equity. Look for companies with:

  • Deep scientific expertise (PhDs from leading quantum programs)
  • Commercial traction with Fortune 500 pilot programs
  • Platform approach across multiple hardware types
  • Defensible IP in algorithms or error correction

Layer 3: Applications and Solutions ($2B invested)

Early commercial applications are concentrating in four verticals:

Drug Discovery and Materials Science:

  • Simulating molecular interactions beyond classical capability
  • Companies like Riverlane partnering with pharma on protein folding
  • Potential to reduce drug discovery timelines 40-60%
  • Market size: $2T+ pharmaceutical R&D spend

Financial Services Optimization:

  • Portfolio optimization, risk analysis, derivative pricing
  • JPMorgan, Goldman Sachs investing heavily in quantum finance
  • Early results show 10-30% improvement in optimization quality
  • Market size: $50B+ in trading and risk management

Logistics and Supply Chain:

  • Vehicle routing, warehouse optimization, supply chain planning
  • D-Wave commercializing quantum annealing for optimization
  • Potential 15-25% cost savings in complex logistics
  • Market size: $400B+ global logistics optimization

Cryptography and Security:

  • Both threat (breaking current encryption) and opportunity (quantum-safe crypto)
  • NIST released post-quantum cryptography standards in 2024
  • Migration to quantum-resistant algorithms creating $20B+ market

Investment Thesis: Applications layer offers strongest near-term growth equity opportunities. Target companies with:

  • Vertical specialization in high-value use cases
  • Paying customers running production pilots
  • Hybrid classical-quantum approaches deliverable today
  • Path to quantum advantage independent of hardware progress

"The winners in quantum won't be the companies with the most qubits—they'll be the ones solving expensive problems customers care about, using whatever quantum resources are available."

Layer 4: Infrastructure and Enablement ($5B invested)

Supporting ecosystem creating immediate opportunities:

Cloud Access Platforms:

  • Amazon Braket, Azure Quantum, IBM Quantum Network
  • Democratizing access to quantum computers via cloud
  • Enabling R&D without hardware investment

Component Suppliers:

  • Cryogenic systems (Bluefors, Oxford Instruments)
  • Control electronics and signal processing
  • Optical components for photonic quantum
  • Lower risk "picks and shovels" plays

Consulting and Services:

  • Helping enterprises prepare for quantum transition
  • Algorithm development services
  • Quantum readiness assessments
  • Market size: $3B+ by 2027

03Commercial Viability Timeline: When Will Quantum Matter?

Realistic assessment of commercial inflection points:

2025-2026: Quantum Advantage in Optimization

  • Specific optimization problems solved faster/better than classical
  • Hybrid algorithms combining classical and quantum
  • Fortune 500 production pilots generating ROI
  • Market size: $500M-$1B in specialized applications

2027-2028: Drug Discovery and Materials

  • Quantum simulation of complex molecules becomes reliable
  • First drugs designed with quantum assistance enter trials
  • Materials science breakthroughs in batteries, catalysts
  • Market size: $3B-$5B in quantum-enabled R&D

2029-2030: Broad Commercial Deployment

  • Multiple hardware platforms achieving 10,000+ logical qubits
  • Quantum-as-a-Service becomes standard enterprise tool
  • AI/ML accelerated by quantum processing
  • Market size: $15B-$25B across applications

2031+: Transformative Impact

  • Breaking of current encryption standards (Y2Q event)
  • Quantum internet enabling secure communication
  • Scientific breakthroughs accelerating in multiple fields
  • Market size: $100B+ global quantum computing industry

Growth equity sweet spot: 2026-2029, when commercial traction validates technology but before mass adoption drives down returns.

04Investment Evaluation Framework

Due diligence for quantum investments requires specialized assessment:

1. Technical Validation

Work with quantum computing experts to evaluate:

  • Scientific team credentials (top-tier PhD programs, publications)
  • Technology differentiation vs. competitors
  • Realistic assessment of current capabilities vs. claims
  • Roadmap feasibility based on known physics
  • IP portfolio strength and freedom to operate

2. Commercial Traction

  • Paying customers vs. research grants vs. pilot programs
  • Customer concentration and retention
  • Unit economics and path to profitability
  • Sales cycle length (12-24 months typical for enterprise quantum)
  • Competitive positioning and market share trends

3. Capital Efficiency

  • Cash runway to reach next value inflection point
  • R&D burn rate relative to progress
  • Go-to-market efficiency (CAC payback period)
  • Ability to scale without proportional cost increases

4. Talent and Team

  • Blend of PhD researchers and commercial operators
  • Domain expertise in target verticals (pharma, finance, etc.)
  • Track record of shipping products, not just publishing papers
  • Ability to recruit in hyper-competitive talent market

5. Strategic Positioning

  • Partnerships with hardware providers or cloud platforms
  • Integration with existing enterprise workflows
  • Potential strategic acquirers (tech giants, industry leaders)
  • Defensibility against better-funded competitors

05Risk Factors and Mitigation

Quantum investments carry unique risks requiring explicit mitigation:

Technology Risk: Will It Work?

Risk: Fundamental physics or engineering barriers prevent commercial scale

Mitigation:

  • Focus on applications layer less dependent on hardware breakthroughs
  • Invest in platform-agnostic software that runs on multiple quantum architectures
  • Require demonstrated progress milestones before later-stage capital

Timing Risk: Too Early or Too Late?

Risk: Investing before commercial viability or after valuations reflect full potential

Mitigation:

  • Stage investments aligned with technology readiness levels
  • Target companies serving customers with hybrid classical-quantum solutions today
  • Build option value through pilot investments and partnerships

Competition Risk: Tech Giants Dominate?

Risk: IBM, Google, Microsoft leverage resources to control quantum market

Mitigation:

  • Focus on vertical applications where domain expertise trumps computing power
  • Bet on companies partnering with rather than competing against tech giants
  • Identify defensible niches too small for tech giants to pursue

Talent Risk: Can They Hire?

Risk: Shortage of quantum computing expertise limits execution

Mitigation:

  • Invest in companies with strong founder networks to leading academic programs
  • Support portfolio companies with recruiting and employer branding
  • Look for teams building training programs to develop internal talent

Capital Intensity Risk: Dilution and Control

Risk: Quantum companies require multiple large rounds, diluting early investors

Mitigation:

  • Maintain pro-rata rights through multiple rounds
  • Focus on capital-efficient software vs. hardware plays
  • Structure investments with liquidation preferences protecting downside

06Current Investment Opportunities: 2025 Landscape

Based on our market mapping, attractive opportunities exist in:

Quantum Software Platforms (Investable Now)

  • Companies building high-level abstractions for quantum programming
  • Target: Series B-C companies with $10M-$50M revenue, 50-100% YoY growth
  • Check size: $25M-$75M for minority stake
  • Expected returns: 3-5x over 5-7 years

Vertical Application Companies (Investable Now)

  • Quantum-enabled solutions for drug discovery, financial optimization, materials
  • Target: Series A-B with pilot customers and clear ROI demonstrations
  • Check size: $10M-$30M
  • Expected returns: 5-10x over 5-7 years if technology proves out

Component and Infrastructure (Investable Now)

  • Suppliers of critical components to quantum hardware companies
  • Lower risk, more predictable returns
  • Check size: $15M-$40M
  • Expected returns: 2-4x over 4-6 years

Hardware Companies (Wait and Watch)

  • Still largely venture and strategic corporate domain
  • Consider 2027-2028 when commercial viability clearer
  • Build relationships now for later-stage entry

"The quantum investment opportunity resembles cloud computing in 2008—technology proven, commercial applications emerging, but mass adoption still 3-5 years away. That's the perfect entry point for growth equity."

07Conclusion: Positioned for the Quantum Future

Quantum computing is transitioning from science project to commercial reality. The timeline to massive impact remains uncertain—but the direction is clear. Companies building quantum-enabled solutions are beginning to demonstrate economic value that classical computers cannot match.

For growth equity investors, the opportunity window is opening. Too early and you fund expensive R&D with uncertain outcomes. Too late and valuations reflect the full potential. The 2025-2028 window offers optimal entry: technology proven, commercial traction building, but before mainstream adoption drives premiums.

The quantum future won't be evenly distributed. Winners will combine deep technical expertise with commercial execution, solve valuable customer problems, and build defensible positions before the market recognizes their advantage. Identifying these companies now—and supporting them through the commercial inflection point—represents one of the most compelling risk-adjusted opportunities in deep tech investing.

Disclaimer

This content is for informational purposes only and does not constitute investment advice. Quantum computing technologies involve significant technical and commercial risks. Past performance of emerging technologies is not indicative of future results. Consult qualified professionals before making investment decisions.

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Nothing in this piece is investment, legal, tax or accounting advice, and nothing in it is an offer to sell or a solicitation of an offer to buy any security.

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