⚛️ Quantum Navigator

🔬 Quantum Technology Stack Heat Map

Interactive visualization of quantum computing architectures and technology approaches

Home > Technology Stack

Understanding Quantum Technologies

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Superconducting

Uses superconducting circuits operating near absolute zero. Leaders: IBM, Google, Rigetti

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Trapped Ion

Individual ions held by electromagnetic fields. Leaders: IonQ, Quantinuum, Alpine QT

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Photonic

Uses photons (light particles) for quantum information. Leaders: Xanadu, PsiQuantum, Quandela

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Neutral Atom

Arrays of cold neutral atoms. Leaders: QuEra, Pasqal, Atom Computing

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Quantum Annealing

Specialized for optimization problems. Leader: D-Wave Systems

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Topological

Braiding anyons for error-resistant qubits. Research: Microsoft

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263 Companies Shown
8 Hardware Technologies
15 Categories
26 Countries

Hardware Technologies

Stack Layers

Bubble Size

10+ years (2015 or earlier)
5-10 years (2016-2020)
< 5 years (2021+)

Understanding Quantum Computing Technologies

🔵 Superconducting Qubits

  • How it works: Superconducting circuits at ~15mK
  • Pros: Fast gates, proven scalability, industry standard
  • Cons: Requires extreme cooling, short coherence times
  • Key Players: IBM, Google, Rigetti, AWS, Alibaba
  • Maturity: ⭐⭐⭐⭐⭐ Most mature

⚡ Trapped Ion

  • How it works: Ions held by electromagnetic fields and manipulated with lasers
  • Pros: Long coherence times, high fidelity gates, all-to-all connectivity
  • Cons: Slower gates, complex laser systems, scaling challenges
  • Key Players: IonQ, Quantinuum, Alpine QT, Universal Quantum
  • Maturity: ⭐⭐⭐⭐ Very mature

💡 Photonic

  • How it works: Photons as qubits, optical quantum computing
  • Pros: Room temperature operation, networking capability, error resilience
  • Cons: Probabilistic gates, photon loss, scaling complexity
  • Key Players: PsiQuantum, Xanadu, Quandela, ORCA, QuiX
  • Maturity: ⭐⭐⭐ Emerging

⚛️ Neutral Atom

  • How it works: Cold atoms in optical tweezer arrays
  • Pros: Flexible geometry, long coherence, dense packing
  • Cons: Complex atom loading, slower gates
  • Key Players: QuEra, Pasqal, Atom Computing, Infleqtion
  • Maturity: ⭐⭐⭐⭐ Rapidly advancing

🔄 Quantum Annealing

  • How it works: Analog approach for optimization problems
  • Pros: Large qubit counts, problem-specific acceleration
  • Cons: Limited to optimization, not gate-based
  • Key Players: D-Wave Systems
  • Maturity: ⭐⭐⭐⭐⭐ Commercial deployment

🌀 Spin Qubits

  • How it works: Electron or nuclear spins in semiconductor quantum dots
  • Pros: Small footprint, semiconductor manufacturing compatibility
  • Cons: Complex control, short coherence times
  • Key Players: Intel, Quantum Motion, Diraq, Equal1
  • Maturity: ⭐⭐⭐ Research stage