Edukaizen

Menu
  • Nieuws
  • 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
  • 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
  • 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
  • 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
  • GOLD REL
    • 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
  • Advantage List
Menu

Fermi-Hubbard quantum simulation project

This project follows a concrete 1D Fermi-Hubbard simulation route: from the physical model, through fermion-to-qubit mapping and fSWAP routing, to IBM hardware with Fire Opal and classical reference calculations.

The claim boundary is practical and cautious. The series discusses time-to-answer for useful local observables, not an absolute proof that all classical methods fail.

Article series

  1. Part 1: 1D Hubbard model
  2. Part 2: Snake layout and fSWAP
  3. Part 3: Qiskit and Fire Opal
  4. Part 4: 120-qubit run
  5. Part 5: Time-to-answer
  6. Part 6: Tensor networks
  7. Part 7: Majorana propagation
  8. Part 8: Reading charge and spin heatmaps
  9. Part 9: Digital versus cold-atom labs
  10. Part 10: Official Monoprop benchmark

Continue in 2D: the former 2D outlook has grown into a separate Hubbard 2D series, beginning with From 1D to 2D.

Project links

  • Project repository
  • Q-CTRL Fermi-Hubbard paper
  • Classical response paper

Recent Posts

  • Quantum computing-nieuws — 12 augustus 2026
  • Quantum computing-nieuws — 11 augustus 2026
  • Quantum computing-nieuws — 10 augustus 2026
  • Quantum computing-nieuws — 9 augustus 2026
  • Quantum computing-nieuws — 8 augustus 2026

Recent Comments

No comments to show.

Archives

  • August 2026
  • July 2026
  • May 2026
  • March 2026
  • February 2026
  • September 2024

Categories

  • 10
  • Quantum Computing
  • Uncategorized
©2026 Edukaizen | Theme by SuperbThemes