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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
  • 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
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Author: admin

Fermi-Hubbard op een quantumcomputer, deel 10: de officiële Monoprop-benchmark

Posted on August 1, 2026August 11, 2026 by admin

Officiële Monoprop 0.8.0 is getest op dezelfde gemiddelde dubbele bezetting van 60 sites als de quantum-, EduKaizen-Majorana- en MPS-routes. De lokale quantumuitvoeringsproxy is 7,06 keer sneller dan de strikte Monoprop-run.

Fermi-Hubbard on a quantum computer, part 10: the official Monoprop benchmark

Posted on August 1, 2026August 11, 2026 by admin

Official Monoprop 0.8.0 was tested on the same 60-site mean-double-occupancy observable as the quantum, EduKaizen Majorana, and MPS routes. The local quantum execution proxy is 7.06 times faster than the strict Monoprop run.

Fermi-Hubbard op een quantumcomputer, deel 9: wanneer is een quantumcomputer een quantumlab?

Posted on July 27, 2026August 11, 2026 by admin

Cold atoms en gate-based processors kunnen dezelfde 1D Fermi-Hubbarddynamica onderzoeken, maar vervanging van een quantumlab vereist dezelfde Hamiltoniaan, begintoestand, quench, observabelen en validatie.

Fermi-Hubbard on a quantum computer, part 9: when is a quantum computer a quantum lab?

Posted on July 27, 2026August 11, 2026 by admin

Cold atoms and gate-based processors can probe the same 1D Fermi-Hubbard dynamics, but replacing a quantum lab requires matching the Hamiltonian, initial state, quench, observables, and validation.

Black Hole OLE, part 6: what the result proves and what comes next

Posted on July 11, 2026August 9, 2026 by admin

A reproducible Q80 Operator Loschmidt Echo study, from circuit construction and hardware execution to tensor-network limits and information scrambling.

Black Hole OLE, part 5: Hawking, black holes, and scrambling

Posted on July 11, 2026July 20, 2026 by admin

A reproducible Q80 Operator Loschmidt Echo study, from circuit construction and hardware execution to tensor-network limits and information scrambling.

Black Hole OLE, part 4: the tensor-network challenge

Posted on July 11, 2026July 20, 2026 by admin

A reproducible Q80 Operator Loschmidt Echo study, from circuit construction and hardware execution to tensor-network limits and information scrambling.

Black Hole OLE, part 3: Fire Opal on IBM Kingston

Posted on July 11, 2026July 20, 2026 by admin

A reproducible Q80 Operator Loschmidt Echo study, from circuit construction and hardware execution to tensor-network limits and information scrambling.

Black Hole OLE, part 1: what we actually ran

Posted on July 11, 2026August 9, 2026 by admin

A reproducible Q80 Operator Loschmidt Echo study, from circuit construction and hardware execution to tensor-network limits and information scrambling.

Black Hole OLE, part 2: how an Operator Loschmidt Echo works

Posted on July 11, 2026August 9, 2026 by admin

A reproducible Q80 Operator Loschmidt Echo study, from circuit construction and hardware execution to tensor-network limits and information scrambling.

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