⚛️ Quantum Navigator
🔬 Quantum Technology Stack Heat Map
Interactive visualization of quantum computing architectures and technology approaches
Understanding Quantum Technologies
Superconducting
Uses superconducting circuits operating near absolute zero. Leaders: IBM, Google, Rigetti
Trapped Ion
Individual ions held by electromagnetic fields. Leaders: IonQ, Quantinuum, Alpine QT
Photonic
Uses photons (light particles) for quantum information. Leaders: Xanadu, PsiQuantum, Quandela
Neutral Atom
Arrays of cold neutral atoms. Leaders: QuEra, Pasqal, Atom Computing
Quantum Annealing
Specialized for optimization problems. Leader: D-Wave Systems
Topological
Braiding anyons for error-resistant qubits. Research: Microsoft
Loading quantum technology landscape...
271
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