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  • Hubbard
    • Hubbard 1D
      • Part 1: 1D Hubbard model
      • Part 2: Snake layout and fSWAP
      • Part 3: Qiskit and Fire Opal
      • Part 4: 120-qubit run
      • Part 5: Time-to-answer
      • Part 6: Tensor networks
      • Part 7: Majorana propagation
      • Part 8: Reading heatmaps
      • Part 9: Digital vs cold-atom labs
      • Part 10: Official Monoprop benchmark
    • Hubbard 2D
      • Part 1: 1D to 2D
      • Part 2: Cuprates
      • Part 3: 3×3
      • Part 4: Time
      • Part 5: 4×4
      • Part 6: 6×6 Fez
    • 2D Local Quantum Advantage
      • Deel 1: Doel en budget
      • Deel 2: Fermionmodel
      • Deel 3: Mapping en diepte
      • Deel 4: Pilots en shots
      • Deel 5: Foutmitigatie
      • Deel 6: 6×6-resultaten
      • Deel 7: Circa 20x
      • Deel 8: Google en Bonsai
      • Deel 9: Volgende stap
  • Hadron
    • Part 1: Hadron on a quantum processor
    • Part 2: Quarks and confinement
    • Part 3: SU(2) and LSH
    • Part 4: Hamiltonian and circuit
    • Part 5: Fire Opal
    • Part 6: Classical simulations
    • Part 7: Quantum advantage
  • Black Hole OLE
    • Part 1: What we ran
    • Part 2: How OLE works
    • Part 3: Fire Opal and Kingston
    • Part 4: The tensor-network challenge
    • Part 5: Hawking and scrambling
    • Part 6: What the result proves
    • Part 7: Local toy model
    • Part 8: QGSS26 compatibility
  • Random Graph
    • Start here
    • Part 1: Theory
    • Part 2: Circuit
    • Part 3: Qiskit
    • Part 4: Complexity
    • Part 5: Verification
    • Part 6: Workflow
    • Part 7: Conclusion
  • Floquet-Ising
    • Part 1: Floquet physics
    • Part 2: Ising cycle
    • Part 3: Two-qubit toy model
    • Part 4: Oscillation and entanglement
    • Part 5: Noise and error mitigation
    • Part 6: Toward 51 qubits
  • XXZham
    • Part 1: The XXZ model and imbalance
    • Part 2: From dynamics to a quantum circuit
    • Part 3: The classical simulation methods
    • Part 4: Error mitigation on real hardware
    • Part 5: Results and the classical comparison
    • Part 6: Original study and next steps
  • Nighthawk RCS 61q
    • Part 1: The paper
    • Part 2: Our IBM measurements
    • Part 3: MPS and advantage
    • Part 4: RCS theory and applications
  • Work
    • QOS QML
      • Tutorial: UMI counts to a four-qubit circuit
      • Part 1: The QML task
      • Part 2: QOS theory
      • Part 3: Gene expression to 40 qubits
      • Part 4: JAX to hardware
      • Part 5: Readout and classifier
      • Part 6: 40-qubit result
      • Part 7: Route to quantum advantage
      • Part 8: 60-qubit result
    • Quantum Gold
      • Part 1: Why gold is a relativistic quantum problem
      • Part 2: Why the 2025 gold VQE study stalled
      • Part 3: From QE and spin–orbit coupling to Qiskit
      • Part 4: Twelve gold spinor modes on four qubits
      • Part 5: The 24-qubit route: an active window for transport
      • Part 6: 24 qubits on IBM and with Fire Opal
      • Part 7: The road to quantum advantage for gold
      • Part 8: 24 gold spinor modes on IBM with ZNE-PEA
      • Part 9: Forced gold colour on 56 qubits
    • HaPPY Gravity
      • Part 1: Gravity as a phase gate
      • Part 2: Bosons and convergence
      • Part 3: The dynamic HaPPY benchmark
      • Part 4: The N=145 classical audit
      • Part 5: MPS and Majorana baselines
      • Part 6: PEA/ZNE and the decisive test
    • Fibonacci Anyons
      • Part 1: Fusion and braiding
      • Part 2: The 3/5/9-qubit ladder
      • Part 3: Why nine qubits were too deep
      • Part 4: Structure-aware simplification
      • Part 5: IBM hardware diagnostic
      • Part 6: Results and open questions
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Cross-scale locality signal from q14 to q80

Quantum computing news — October 16, 2026

Latest quantum computing news

Daily selection from Google News for October 16, 2026. Headlines link to the original publication.

Quantum signal across several system sizes
Bringing the magic: Google breaks open a bottleneck in quantum computing – blog.googleblog.google · Thu, 15 Oct 2026 18:20:27 GMT
Quantum phase-estimation circuit
Google’s quantum Willow chip may be able to grow ‘magic states’ – Scientific AmericanScientific American · Thu, 15 Oct 2026 18:00:00 GMT
Visualization of a quantum spin state
Google demonstrates quantum computing breakthrough, cuts errors 40-fold – Investing.comInvesting.com · Thu, 15 Oct 2026 20:27:21 GMT
Diagnostic panels from a local quantum scrambling model
Morgan Stanley says quantum computing could be a $100 billion market one day. Here’s its top stock to play the trend – CNBCCNBC · Thu, 15 Oct 2026 17:09:55 GMT
Charge-density measurement from a 120-qubit Fermi-Hubbard run
Quantum Computing Stocks Rebound After Dilution Scare: IonQ and Rigetti Climb 3%, D-Wave Advances 2% – Yahoo FinanceYahoo Finance · Thu, 15 Oct 2026 15:46:59 GMT
Illustration of a spreading quantum pulse
Quantinuum Upgraded On Valuation, Tech Road Map Vs. Other Quantum Computing Stocks – Investor's Business DailyInvestor's Business Daily · Thu, 15 Oct 2026 17:10:00 GMT
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