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  • 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
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Month: July 2026

Fermi-Hubbard op een quantumcomputer, deel 6: tensor-networks, TDVP en chi

Posted on July 2, 2026 by

Nederlands | English | Project page | Previous | Next Als je een quantumcomputer wilt benchmarken, heb je een sterke klassieke tegenstander nodig. Voor 1D quantumketens is die tegenstander meestal een tensor-network…

Fermi-Hubbard op een quantumcomputer, deel 5: quantum advantage of time-to-answer?

Posted on July 2, 2026 by

Nederlands | English | Project page | Previous | Next "Quantum advantage" is een gevaarlijke term. Hij klinkt absoluut: de quantumcomputer wint en de klassieke computer verliest. Voor near-term many-body simulatie is…

Fermi-Hubbard op een quantumcomputer, deel 4: de 120-qubit quantumrun

Posted on July 2, 2026 by

Nederlands | English | Project page | Previous | Next Nu komt de vraag waar dit project om draait: wat gebeurt er als we de Fermi-Hubbard simulatie echt op quantumhardware draaien? De…

Fermi-Hubbard op een quantumcomputer, deel 3: Qiskit, IBM Runtime en Fire Opal

Posted on July 2, 2026 by

Nederlands | English | Project page | Previous | Next De eerste twee delen gingen over fysica en circuitstructuur. Dit deel gaat over de praktische route: hoe kom je van een lokaal…

From Hubbard 1D to the Hubbard 2D series

Posted on July 2, 2026August 11, 2026 by

English | Nederlands | Hubbard 1D project | Continue with Hubbard 2D Series update: this page originally served as the 2D outlook for the Hubbard 1D series. The 2D work now has…

Fermi-Hubbard on a quantum computer, part 8: reading charge and spin heatmaps

Posted on July 2, 2026August 11, 2026 by

English | Nederlands | Project page | Previous | Next Scope of this part: this part explains how to read the charge and spin heatmaps. Part 9 uses those observables for a…

Fermi-Hubbard on a quantum computer, part 7: Majorana propagation as a laptop competitor

Posted on July 2, 2026July 2, 2026 by admin

English | Nederlands | Project page | Previous | Next A good quantum-advantage discussion needs a strong classical competitor. In this series, tensor-network TDVP is the standard competitor, but there is another…

Fermi-Hubbard on a quantum computer, part 6: tensor networks, TDVP, and chi

Posted on July 2, 2026 by

English | Nederlands | Project page | Previous | Next If we want to benchmark a quantum computer, we need a strong classical competitor. For 1D quantum chains, that competitor is usually…

Fermi-Hubbard on a quantum computer, part 5: quantum advantage or time-to-answer?

Posted on July 2, 2026 by

English | Nederlands | Project page | Previous | Next "Quantum advantage" is a dangerous phrase. It sounds absolute: the quantum computer wins and the classical computer loses. For near-term many-body simulation,…

Fermi-Hubbard on a quantum computer, part 4: the 120-qubit quantum run

Posted on July 2, 2026 by

English | Nederlands | Project page | Previous | Next Now we reach the question that motivates this project: what happens when we run the Fermi-Hubbard simulation on real quantum hardware? The…

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