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[TECH] Quantum Computing Hardware

Quantum Computing Hardware implements quantum bits (qubits) in physical systems — superconducting circuits, trapped ions, photons, neutral atoms — with sufficient coherence and fidelity to run quantum algorithms.

Overview

The leading platforms: superconducting qubits (IBM, Google) — fast gates, chip-based, currently 100–1000 physical qubits; trapped ions (IonQ, Quantinuum) — high fidelity (>99.9%), all-to-all connectivity; neutral atoms (QuEra) — reconfigurable arrays, 1000+ qubits demonstrated; photonic (Xanadu, PsiQuantum). Google's Sycamore (2019) claimed quantum supremacy for a specific sampling task. IBM's Condor (2023, 1121 qubits) and Heron processors pursue fault tolerance. Fault-tolerant quantum computing (requiring ~1M physical qubits per logical qubit for surface code) is estimated 10–20 years away.

Key Actors

  • Companies: IBM (Quantum, 2016), Google Quantum AI (2012), IonQ (2015), Quantinuum (2021), QuEra (2018), Xanadu (2016), Rigetti (2013)
  • Investors: USD 35B+ invested in quantum computing globally (2015–2023, McKinsey)

Key Patents

IBM, Google, and IonQ hold the largest quantum computing patent portfolios (thousands of patents across qubit design, control electronics, error correction).

Economic Value

Current market: USD 1.3 billion/year (2023, IDC). McKinsey projects USD 170B–USD 450B by 2035 from pharmaceutical, chemical, financial, and logistics applications.

Notes

McKinsey Quantum Technology Monitor 2023. IDC Quantum Computing Market Forecast 2023. The technology is pre-commercial in most applications; economic projections are highly uncertain.

What This Enables

This is a current frontier node — no downstream connections yet recorded in this graph.

Discovery Character

Surprise level: High — That superconducting qubits would achieve >99.5% two-qubit gate fidelity within 20 years of the first demonstration (1999) was faster than most physicists predicted. Google's claimed quantum supremacy (2019) — a specific sampling task performed faster than any classical computer — was a milestone earlier than the field expected.

Mode: Systematic, guided by theory. Quantum computing hardware development follows theoretical blueprints: fault tolerance thresholds, qubit connectivity graphs, and error correction codes all come from theory and set specific engineering targets. Each fidelity improvement was systematic materials and fabrication engineering. No serendipity — progress has been determined and incremental, against very demanding specifications.