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      • Part 1: 1D Hubbard model
      • Part 2: Snake layout and fSWAP
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      • Part 5: Time-to-answer
      • Part 6: Tensor networks
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      • 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
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      • 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
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    • 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
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      • Tutorial: UMI counts to a four-qubit circuit
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      • 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
  • Advantage List
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Pro Student Quantum Advantage List

Edukaizen benchmark register

Pro Student Quantum Advantage List

8 student-scale project reports, with separate labels for local time-to-answer comparisons, runtime bounds, execution-metric ratios and diagnostic results. Timing scope, numerical accuracy and public access are stated for each entry.

Definition used here. A local practical advantage means that a measured quantum workflow reached a useful answer faster than a named classical workflow for the same stated task on the resources actually available to the project. It is not proof against every classical algorithm, GPU cluster, supercomputer, or future implementation.

The current list

Project Scale Primary quantum timing Classification
1D Fermi-Hubbard 120 qubits / 60 sites 33.148928 s Local time-to-answer separation
SU(2) hadron dynamics 120 qubits / 60 sites 1.425408 s Paper-aligned local separation
Operator Loschmidt Echo Q80 80 qubits 328 s Local runtime lower bound
Random Graph Sampling 70 qubits 19 s Diagnostic only
Floquet-Ising 51q 51 qubits 41 s Local time-to-answer separation
2D Hubbard Nighthawk 72 qubits / 36 sites 7 s Local execution-metric ratio; accuracy unvalidated
XXZham 80 spins 76 s QPU usage Local execution-metric lead; chi=512 passes one full refinement, convergence unfinished
Nighthawk RCS 61 qubits 19 s QPU usage 65.7x local execution-metric lead over circuit-following MPS; process fidelity unvalidated

Entry 1 · Local time-to-answer separation

Fermi-Hubbard dynamics on 120 qubits

A 60-site Fermi-Hubbard hardware workflow produced local charge, spin, and double-occupancy observables and was compared with local MPS and observable-specific Majorana calculations.

Scale120 qubits / 60 sites
BackendIBM Kingston through Q-CTRL Fire Opal
Primary timing33.148928 s
TaskEstimate local observables after 30 Trotter steps at model time t=6

Measured comparison. The quantum execution proxy was 272.50x shorter than the local chi=256 MPS wall time for this declared instance.

Quantum result. The hardware produced a full 120-qubit observable profile; raw mean double occupancy was 0.22862549 and readout-corrected mean double occupancy was 0.23067722.

Classical baselines

Method Wall time Status
Local quimb MPS with maximum bond dimension chi=256 9,033 s not fully converged; maximum bond reached the requested cap
Local Majorana propagation with cutoff 2 20.96 s faster than the quantum proxy but visibly inaccurate
Local Majorana propagation with cutoff 4 1,153.51 s close to the chi=256 value for this selected observable

Official sources

  • Hartnett et al., large-scale Fermi-Hubbard digital quantum simulation
  • Rausch et al., GPU and symmetry-aware classical challenge

Complete implementation

  • Edukaizen project
  • GitHub implementation
  • Detailed article

Claim boundary

  • This is a local time-to-answer result, not a reproduction of the paper's headline practical-advantage claim.
  • The chi=256 MPS baseline did not establish full convergence.
  • The fast Majorana route demonstrates that observable-specific classical methods can change the ranking.

Entry 2 · Paper-aligned local separation

Non-Abelian SU(2) hadron dynamics on 120 active qubits

A Loop-String-Hadron implementation follows a differential hadron signal on a 60-site lattice and compares the quantum route with local circuit-MPS checks and published tensor-network and Pauli-propagation baselines.

Scale120 qubits / 60 sites
BackendIBM hardware through Q-CTRL Fire Opal
Primary timing1.425408 s
TaskEstimate differential hadron observables and verify the conserved charge sector

Measured comparison. Both the local circuit checks and the paper-native baselines show a substantial runtime separation under their declared timing definitions.

Quantum result. The local hardware route produced charge-sector and differential-observable data for the 120-qubit circuit family.

Classical baselines

Method Wall time Status
Local Aer MPS on compiled QASM 34.281305 s completed local sanity baseline
Local ITensorMPS on compiled QASM 174.611 s completed local sanity baseline
Published Pauli propagation on CPU at step 5 477.4471 s published baseline
Published Pauli propagation on GPU at step 5 547.581 s published baseline
Published ITensor TDVP tensor network at step 5 584.092 s published baseline

Official sources

  • Ilcic et al., Observation of Robust and Coherent Non-Abelian Hadron Dynamics on Noisy Quantum Processors
  • Quantum Advantage Tracker issue 149
  • Official LSH-IBM circuit repository
  • Official lsh_data repository

Complete implementation

  • Edukaizen project
  • GitHub implementation
  • Detailed article

Claim boundary

  • Hardware-only time is not cloud wall time and excludes several service overheads.
  • The local scalar normalization remains distinct from the tracker's published hadron scalar.
  • The result supports runtime separation and circuit or sector validation, not an independent precision reproduction of every published observable.

Entry 3 · Local runtime lower bound

Operator Loschmidt Echo on 80 qubits

A tracker-compatible 80-qubit extension estimates an Operator Loschmidt Echo from finite computational-basis samples and compares the complete mitigated hardware action with a bounded tracker-linked BP-TN calculation.

Scale80 qubits
BackendIBM Kingston through Q-CTRL Fire Opal
Primary timing328 s
TaskEstimate a finite-sample Operator Loschmidt Echo scrambling observable

Measured comparison. The incomplete bond-dimension-64 classical delta half alone exceeded the complete Fire Opal action by more than 2.75x on this machine.

Quantum result. The measured delta/delta0 OLE ratio was 0.74028847 +/- 0.01663657; all eight sample ratios were positive.

Classical baselines

Method Wall time Status
Tracker-linked Heisenberg BP-TN at bond dimension 16 365.14 s not converged; apparent ratio is not a valid physical estimate
Tracker-linked Heisenberg BP-TN delta half at bond dimension 32 342.42 s not converged; value shifted by 86 percent from bond dimension 16
Tracker-linked Heisenberg BP-TN delta half at bond dimension 64 901.01 s timeout before producing a result

Official sources

  • Quantum Advantage Tracker observable-estimation register
  • Released Operator Loschmidt Echo circuits

Complete implementation

  • Edukaizen project
  • GitHub implementation
  • Detailed article

Claim boundary

  • The classical calculation did not converge and no matched-accuracy ratio was obtained.
  • This is a tracker-compatible 80-qubit extension with N_init=8, not an official tracker instance or an N_init=500 reproduction.
  • The observation is local and does not cover every classical implementation or optimized compute platform.

Entry 4 · Diagnostic only

Random Graph Sampling on 70 data qubits

A complete 70-data-qubit non-Clifford circuit was sampled on IBM hardware, alongside an independent 70+8-qubit stabilizer-verification workflow and local classical scaling studies.

Scale70 qubits
BackendIBM Kingston through Q-CTRL Fire Opal and IBM Runtime
Primary timing19 s
TaskSample the complete random-graph circuit and estimate the graph-state prefix with predeclared stabilizers

Measured comparison. Hardware returned 256 samples in 19 quantum-seconds, while a local Aer fit projects about 6.89 million years for one 70-qubit sample; sample counts and output quality are not matched.

Quantum result. The complete circuit returned 256 samples. The separate checked dataset retained 4,519 of 184,320 shots and gave a graph-state-prefix point estimate of 0.01217; its predeclared one-sided 95 percent lower-bound test failed. The original restricted-access IBM Boston execution reported substantially stronger effective performance than this independently accessible Kingston reproduction.

Classical baselines

Method Wall time Status
Local Qiskit Aer extended-stabilizer fit evaluated at 70 qubits 217,512,854,796,362.625 s extrapolated; not measured at 70 qubits and not quality matched
Local ITensorMPS at maximum bond dimension 64 205.36 s completed but strongly truncated and not converged
Local exact MPS anchor at 14 induced qubits 3.23 s exact small-width validation; not a 70-qubit baseline

Official sources

  • Quantum Advantage Tracker issue 151
  • Released Random Graph Sampling circuits

Complete implementation

  • Edukaizen project
  • GitHub implementation
  • Detailed article

Claim boundary

  • The Tracker result used restricted access to IBM Boston, whereas this independent reproduction used the available IBM Kingston route; backend access, physical mapping, and calibration window are therefore not matched.
  • Boston produced a substantially stronger workload-level result, but its historical calibration and complete raw fidelity-analysis record are not public, so the result does not establish that Boston was universally better hardware than Kingston.
  • The 70-qubit classical runtime is extrapolated from measurements ending at 12 qubits, not measured at full width.
  • The quantum samples have no validated full-distribution fidelity, and the separate predeclared 95 percent stabilizer test failed.
  • The post-hoc 75 percent lower bound is an exploratory sensitivity result, not 75 percent fidelity and not evidence of quantum advantage.

Entry 5 · Local time-to-answer separation

Floquet-Ising oscillation detection on 51 qubits

A complete 51-qubit IBM Fez PEA/ZNE trajectory detected a reproducible Floquet-Ising oscillation in less declared execution time than a local D=64 PEPS simple-update trajectory for the same coordination-two magnetization.

Scale51 qubits
BackendIBM Fez
Primary timing41 s
TaskObtain and detect the oscillatory coordination-two magnetization trajectory for the fixed 51-qubit circuit over 16 Floquet cycles

Measured comparison. The 41-QPU-second PEA/ZNE route detected the 51-qubit oscillation 8.93x sooner than the 366.17-second local D=64 PEPS-SU trajectory under the declared timing scopes.

Quantum result. The fitted PEA/ZNE period was 4.76 cycles with profile interval 4.62 to 4.92; the fitted oscillation amplitude was about 5.2 conditional fit standard errors, consistent with two independent raw plus M3 trajectories at periods 4.48 and 4.61.

Classical baselines

Method Wall time Status
Local Quimb arbitrary-geometry PEPS simple update at D=64 366.169545 s complete; D=40-to-D=64 convergence accepted through cycle 8 only, with cycles 9-16 diagnostic rather than converged
Local Quimb arbitrary-geometry PEPS simple update at D=40 118.33 s complete; used with D=64 to define the low-D convergence window
Published PEPS-BP production calculations at D=512 and D=700 not available paper baseline; 35.1 hours at D=512 and 599.8 hours at D=700, with late-cycle convergence limitations

Official sources

  • Leviatan et al., Quantum Simulations beyond Classical Capabilities with Error-Mitigated Dynamic Circuits
  • Quantum Advantage Tracker repository

Complete implementation

  • Edukaizen project
  • GitHub implementation
  • Detailed article

Claim boundary

  • This is a partial, task-specific practical time-to-signal advantage, not a general or complexity-theoretic quantum-advantage claim.
  • The 41-second timing is QPU execution only and excludes queueing, orchestration, retrieval, analysis, and classical mitigation processing.
  • The classical D=64 PEPS-SU trajectory is converged by the declared low-D diagnostic only through cycle 8; cycles 9-16 are not a claim-ready classical reference.
  • Across the eight trusted cycles, PEA/ZNE has diagnostic SRMSE 3.154 and maximum absolute z-score 6.932, so the preregistered matched-accuracy thresholds are not met.
  • The local PEPS-SU implementation is not the paper's PEPS-BP production method at D=512 and D=700, and a stronger observable-specific classical result may change the ranking.

Entry 6 · Local execution-metric ratio; accuracy unvalidated

2D Local Quantum Advantage: 6×6 Hubbard on Nighthawk

A student/hobby project ran full-fermion 6×6 Hubbard circuits on 72 modes and measured charge, spin and doublons. Its local milestone is circa 20x less registered QPU usage than the current laptop-side chi64 MPS kernel time. The timing ratio is measured; numerical accuracy and end-to-end advantage remain unvalidated.

Scale72 qubits / 36 sites
BackendIBM Nighthawk (ibm_phoenix), IBM Runtime Sampler
Primary timing7 s
TaskEstimate local charge, spin n_up-n_down and doublons after the finite 6×6 open-boundary Hubbard circuit: N=32 (16 up, 16 down), t=1, t_prime=-0.25, U=8, T=0.4, two symmetric steps

Measured comparison. The local chi64 kernel took 150.819180 s versus 7 registered QPU s for the complete paired job: 21.55x, or circa 20x. The separate 8-QPU-second job gives 18.85x. This is an execution-metric ratio, not an end-to-end or matched-accuracy speedup.

Quantum result. Readout+TFLO original gave N=31.39633 and D/site=0.090130; compact gave N=31.23064 and D/site=0.077194. Sitewise charge/spin/doublon RMS differences from the uncertified chi64 reference were 0.083889/0.091851/0.050805 (original) and 0.109304/0.125864/0.064116 (compact). Both TFLO holdout checks failed; reconstructed local probabilities reached -0.077303 and -0.092726. These target estimates are unvalidated.

Classical baselines

Method Wall time Status
Local Quimb finite-circuit MPS, chi=64, one thread 150.81918 s completed but not converged or certified; reference N=31.9999992 and D/site=0.087896; chi128 was not run
Same chi64 calculation, cold worker 156.905497 s completed; broader timing of the same calculation, not a second independent reference

Official sources

  • Project authors' Nighthawk source and archived runs (private; permission required)

Complete implementation

  • Edukaizen project
  • GitHub implementation
  • Detailed article
  • Detailed article
  • Detailed article

Access. Nine detailed Edukaizen articles and this register entry are public. The complete source, raw runs and theory archive remain in a private GitHub repository; access requires permission. Admission uses the public project-report route, not a claim that the complete implementation is publicly downloadable.

Claim boundary

  • The approximately 20x milestone compares local classical kernel time with registered QPU usage. It is not a 20x shorter end-to-end run or a matched-accuracy quantum advantage.
  • The 7 seconds cover the entire paired job, not each arm. The earlier 8-second DD/TFLO result is a separate job; mitigation settings and budgets must not be mixed.
  • The latest provider running-to-finished interval was about 181 seconds, already longer than the 150.819-second classical kernel; queueing, preparation and local analysis add other overheads.
  • The chi64 reference has no certified 6×6 error bound and is not converged. Chi128 was not performed, and its estimated cost cannot be counted as extra measured quantum speedup. Concurrent local work also limits timing comparability.
  • Both TFLO holdout checks failed and some reconstructed probabilities are negative. The reported charge, spin and doublon estimates remain unvalidated; apparent agreement of individual observables does not validate the estimator.
  • Exact N=32 is a model constraint, not a replacement for measured N. Original and compact results retain their own measured values and reference differences.
  • This local resource comparison does not establish superiority to all classical algorithms, Google/Bonsai results, or a superconducting-material simulation. The 72-mode model and two-step finite circuit define the tested task.
  • The public reports describe the evidence, but the raw research archive remains private. Full independent reproduction therefore requires access permission; listing the project does not remove this limitation.

Entry 7 · Local execution-metric ratio; convergence unvalidated

XXZham: imbalance dynamics of 80 spins

An IBM Kingston Heron R2 run returned the full 31-point imbalance curve for an 80-spin XXZ chain in 76 registered QPU seconds. Local chi=64, chi=128, chi=256 and chi=512 TEBD runs at dt=1/24 took 130.69 s, 1,503.99 s, 4,571.54 s and 35,432.31 s. These yield descriptive QPU execution-time ratios of 1.72x, 19.79x, 60.15x and 466.21x. The chi=256 to 512 curve change passes both selected refinement limits; the full convergence protocol is unfinished.

Scale80 spins / 31 time points
BackendIBM Kingston, Heron R2
Primary timing76 s registered QPU usage
TaskEstimate the imbalance curve from t=0 to t=5 for the specified quasiperiodic XXZ chain

Measured comparison. QPU usage of 76 s is shorter than local chi=512 TEBD execution (35,432.31 s) by 466.21x. The source-TN-mean RMSE improves from 0.00514 at chi=256 to 0.00454 at chi=512. The chi=256 to 512 curve change is 0.00267 RMS and 0.00676 at its largest point, within the chosen 0.005 and 0.01 limits. The preceding chi=128 to 256 maximum change failed its limit, and time-step convergence at chi=512 was not tested. This is a measured execution-time contrast, not a matched-quality quantum-advantage result.

Quantum result. The completed IBM job produced all 31 points with RMSE 0.036943 against the stated tensor-network mean. A later 40-second-capped quantum attempt failed and yielded no complete curve.

Local classical trials

Method Execution Convergence status
Local one-thread TEBD, chi=16, dt=1/6 8.012 s median Excluded: adjacent time-step refinement changes 0.02461 RMS and 0.06443 maximum
Local TEBD, chi=64, dt=1/24 130.69 s Not converged: source-mean RMSE 0.00951; chi=32 to 64 change 0.01570 RMS / 0.04393 maximum
Local TEBD, chi=128, dt=1/24 1,503.99 s Improved source-mean RMSE 0.00638; chi=64 to 128 change 0.00769 RMS / 0.02158 maximum still exceeds the stability limits
Local TEBD, chi=256, dt=1/24 4,571.54 s Source-mean RMSE 0.00514; chi=128 to 256 change 0.00448 RMS passes, 0.01348 maximum fails
Local TEBD, chi=512, dt=1/24 35,432.31 s (9 h 50 min 32 s) 31 points to t=5; source-mean RMSE 0.00454; chi=256 to 512 change 0.00267 RMS and 0.00676 maximum, both pass
Published H200 Pauli propagation 1,673.49 s Separate upstream Heron R3 benchmark; not a local laptop measurement

Official sources

  • Quantum Advantage Tracker issue 244
  • Original XXZ implementation

Complete implementation

  • Edukaizen project
  • Detailed comparison
  • Project repository (private)
  • Chi=512 measured run and raw data (private)

Claim boundary

  • The fast chi=16 timing is real: five complete runs reached all 31 times through t=5. It is excluded under the selected convergence gate because its coarse cap and time step fail refinement stability.
  • Chi=128 improved the observable error and took 25 minutes 4 seconds on one local CPU thread. It still changed too much from chi=64, and time-step convergence at chi=128 was not measured. The chi=256 run took 76 minutes 12 seconds and had source-mean RMSE 0.00514; its chi=128 to 256 maximum change of 0.01348 failed the 0.01 limit. The completed chi=512 run took 9 hours 50 minutes 32 seconds, produced 31 finite points through t=5 and had source-mean RMSE 0.00454. Its chi=256 to 512 changes of 0.00267 RMS and 0.00676 maximum pass both limits. A second consecutive passing chi refinement and time-step refinement are still missing.
  • The 76-second QPU usage and local CPU execution have different clock scopes. Queue, service overhead and local setup are not matched in this ratio.
  • The reported 5.63x QPU/H200 ratio belongs to a different upstream Heron R3 benchmark, not the laptop comparison.
  • The later frozen quantum trial had no successful complete result. These local measurements show an execution-metric lead over the named chi=64, chi=128, chi=256 and chi=512 TEBD settings, but do not yet establish matched-quality or end-to-end quantum advantage.

Entry 8 · Local execution-metric ratio; process fidelity unvalidated

Nighthawk random-circuit sampling on 61 qubits

The released 61-qubit, 36-cycle circuit returned one million bitstrings on IBM Phoenix in 19 registered QPU seconds. A local chi=128 MPS simulation of the same logical circuit took 1,248.95 seconds for 1,000 bitstrings. This is a 65.7x local execution-metric lead over that circuit-following simulator; process-level fidelity has not been independently matched.

Scale61 qubits / 36 cycles / 918 CZ gates
BackendIBM Phoenix, Nighthawk r2
Primary timing19 s registered QPU usage
TaskSample the released depth-36 random circuit and assess output quality

Measured comparison. The 19-second QPU usage was 65.7x shorter than the 1,248.95-second local chi=128 MPS run of the released circuit. Its RMS difference from the IBM data across 61 one-bit probabilities was 0.09047, within an exploratory hobby tolerance of 0.10. That low-order check does not establish equal process fidelity. The shot counts and timing scopes also differ.

Quantum result. The IBM job returned one million 61-bit strings. It repeated the released circuit’s scale and sampling count, but this project has not independently determined its full-distribution XEB or fidelity. The original paper used mirror and patched-XEB estimators for that purpose.

Classical process simulations

Method Wall time Status
Local Qiskit Aer MPS, chi=128 1,248.95 s Same logical circuit, 1,000 samples; one-bit RMS 0.09047, inside the exploratory 0.10 band
Local Qiskit Aer MPS, chi=64 173.81 s Same logical circuit, 1,000 samples; one-bit RMS 0.10923, outside the band
Local Qiskit Aer MPS, chi=8 1.45 s Same logical circuit, 1,000 samples; one-bit RMS 0.19505, outside the band

Official sources

  • Original 61-qubit Nighthawk preprint
  • Paper-linked circuit and analysis repository

Complete implementation

  • Edukaizen project
  • Detailed comparison
  • Public code and article source

Claim boundary

  • A circuit-independent random-bit generator is not a competitor for simulating this quantum process. It serves only as a negative control showing that one-bit RMS alone cannot verify the process.
  • The 0.10 one-bit RMS band is an exploratory, post-measurement hobby criterion; it is much looser than the approximately 0.018 noise-only 95% threshold for 1,000 shots.
  • The 19 seconds are provider QPU usage for one million shots; the local MPS wall times cover 1,000 shots. Queue, preparation, service overhead and analysis are excluded from the quantum timing.
  • Passing the marginal check does not validate the full 61-bit distribution, ideal-circuit fidelity or full-width XEB. Our run did not reproduce the paper’s mirror or patched-XEB fidelity estimates.
  • The 65.7x figure is a timing lead over one named circuit-following capped-MPS implementation, not a demonstrated matched-fidelity, best-classical or end-to-end quantum advantage.

What this list does not claim

A stronger classical implementation is a successful challenge, not a problem. Every result is conditional on its stated observable or task, accuracy or convergence status, timing scope, and available resources. The list does not certify formal complexity-theoretic advantage.

The GitHub evidence register is being synchronized. Project sources and implementations are linked in each entry above.

Version 1.3.8, evidence updated through 2026-09-27.

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