[ { "createdAt": "2025-11-12T12:57:53Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/43", "name": "Quantum Runtime for peaked_circuit_heavy_hex_49x4020", "circuit": "peaked_circuit_heavy_hex_49x4020", "value": "100%", "method": "Quantum + Cluster Distillation", "institutions": "IBM", "runtimeQuantum": 633, "runtimeClassical": 197, "computeResourcesQuantum": "ibm_boston", "computeResourcesClassical": "Intel Ultra 9 185H, 16 cores" }, { "createdAt": "2025-11-11T23:28:18Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/27", "name": "TNS+BP for peaked_circuit_heavy_hex_49x4020", "circuit": "peaked_circuit_heavy_hex_49x4020", "value": "100%", "method": "TNS+BP", "institutions": "BlueQubit", "runtimeClassical": 2400, "computeResourcesClassical": "H100 GPU (90GB VRAM)" }, { "createdAt": "2025-11-12T13:32:36Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/47", "name": "TNO + Iterative Cancellation for peaked_circuit_heavy_hex_49x4020", "circuit": "peaked_circuit_heavy_hex_49x4020", "value": "100%", "method": "TNO + Iterative Cancellation", "institutions": "IBM", "runtimeClassical": 38, "computeResourcesClassical": "Nvidia H100 GPU" }, { "createdAt": "2025-12-04T05:24:47Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/83", "name": "Quantum Solution for peaked_circuit_p9_hqap_56x1917", "circuit": "peaked_circuit_P9_Hqap_56x1917", "value": "100%", "method": "Quantinuum H2", "authors": "Hayk Tepanyan", "institutions": "BlueQubit, University of Toronto, Vector Institute", "runtimeQuantum": 7200, "computeResourcesQuantum": "Quantinuum H2" }, { "createdAt": "2025-12-04T05:28:36Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/84", "name": "Classical Solution for peaked_circuit_p9_hqap_56x1917", "circuit": "peaked_circuit_P9_Hqap_56x1917", "value": "100%", "method": "TNS + BP on GPUs (extrapolated)", "institutions": "BlueQubit, University of Toronto, Vector Institute", "runtimeClassical": 1e14, "computeResourcesClassical": "cluster of NVIDIA H100 GPUs", "notes": "Classical runtime is extrapolated." }, { "createdAt": "2025-12-19T19:28:14Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/93", "name": "Quantum runtime for peaked circuit 49q x 5072 CZ's on heavy-hex", "circuit": "peaked_circuit_heavy_hex_49x5072", "value": "100", "method": "Quantum", "authors": "Petar Jurcevic", "institutions": "IBM", "runtimeQuantum": 697, "runtimeClassical": 0, "computeResourcesQuantum": "ibm_boston Heron R3 + custom calibrations", "computeResourcesClassical": "N/A" }, { "createdAt": "2026-01-13T19:52:42Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/98", "name": "TNS + BP classical simulation for peaked_heavyhex_49_5072 circuit", "circuit": "peaked_circuit_heavy_hex_49x5072", "value": "100", "method": "TNS + BP (extrapolated)", "authors": "Nicholas E. Sherman", "institutions": "BlueQubit", "runtimeClassical": 1e7, "computeResourcesClassical": "H100 GPU", "notes": "Classical runtime is extrapolated." }, { "createdAt": "2026-02-13T23:43:13Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/105", "name": "tno_cancellation_49x5072", "circuit": "peaked_circuit_heavy_hex_49x5072", "value": "100", "method": "TNO + Iterative Cancellation", "authors": "David Kremer", "institutions": "IBM", "runtimeClassical": 17, "computeResourcesClassical": "Intel Xeon 48 cores" }, { "createdAt": "2026-02-14T00:06:58Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/106", "name": "mpo_unswapping_56_1917", "circuit": "peaked_circuit_P9_Hqap_56x1917", "value": "100", "method": "MPO + Unswapping", "authors": "David Kremer", "institutions": "IBM", "runtimeClassical": 4059, "computeResourcesClassical": "Nvidia A100 80GB" }, { "createdAt": "2026-04-29T23:24:42Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/151", "name": "ibm_boston_rgs_nq70_depth70_checks27_basis_fstate", "circuit": "random_graph_sampling_nq70_depth70_checks27_basis_fstate", "value": "0.37", "method": "Quantum", "authors": "Ali Javadi-Abhari, Simon Martiel, Jay-U Chung, Alireza Seif, Soumik Ghosh", "institutions": "IBM, University of Chicago", "runtimeQuantum": 1950, "computeResourcesQuantum": "IBM Heron R3", "computeResourcesClassical": "Intel Xeon Gold 6258R 28 cores with 1 TB memory (Qiskit Aer), Apple M1 Max 10 cores with 32 GB memory (Quimb)", "notes": "The reported classical runtimes are extrapolated." }, { "createdAt": "2026-05-14T04:51:19Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/153", "name": "mpo_unswapping_cpu_laptop_56_1917", "circuit": "peaked_circuit_P9_Hqap_56x1917", "value": "100", "method": "MPO + Unswapping (CPU)", "authors": "Alexey Galda", "institutions": "Moderna", "runtimeClassical": 734, "computeResourcesClassical": "Apple M5 Pro (T6050) laptop, single Python process, Apple Accelerate BLAS", "notes": "12 min on a consumer Apple Silicon laptop CPU" }, { "createdAt": "2026-07-09T18:49:42Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/228", "name": "ibm_boston_dcs_nq70_depth70_checks27", "circuit": "doped_random_graph_sampling_nq70_depth70_checks27", "value": "0.32", "method": "Quantum", "runtimeQuantum": 17900, "computeResourcesQuantum": "IBM Heron R3", "computeResourcesClassical": "Apple M1 Max 10 cores with 32 GB memory (Quimb), Intel Xeon Gold 6258R 28 cores with 1 TB memory (quizx Clifford + T)", "notes": "The reported classical runtimes are extrapolated.", "authors": "Ali Javadi-Abhari, Simon Martiel, Jay-U Chung, Alireza Seif, Ian Hincks, Jay Gambetta, Soumik Ghosh, Bill Fefferman", "institutions": "IBM, UChicago" }, { "createdAt": "2026-09-18T05:45:40Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/246", "name": "Quantinuum Helios-1 recovery for peaked_circuit_P11_Hqap_98x1999", "circuit": "peaked_circuit_P11_Hqap_98x1999", "value": "100", "method": "Quantinuum Helios-1 hardware with Hamming-space medoid and cluster-consensus reconstruction", "runtimeQuantum": 229.924343, "runtimeClassical": 0.004782625, "computeResourcesQuantum": "Quantinuum Helios-1", "computeResourcesClassical": "Apple Silicon Mac; local deterministic Python post-processing", "notes": "50 shots; one duplicate frame repaired; no advantage claim", "authors": "Monit Sharma, Hoong Chuin Lau", "institutions": "Singapore Management University" }, { "createdAt": "2026-09-18T05:53:07Z", "url": "https://github.com/quantum-advantage-tracker/quantum-advantage-tracker.github.io/issues/247", "name": "Quantinuum Helios-1 recovery for peaked_circuit_P12_Hqap_98x2457", "circuit": "peaked_circuit_P12_Hqap_98x2457", "value": "100", "method": "Quantinuum Helios-1 hardware with frequency, Hamming-space medoid, and cluster-consensus reconstruction", "runtimeQuantum": 237.588, "runtimeClassical": 0.010313208, "computeResourcesQuantum": "Quantinuum Helios-1", "computeResourcesClassical": "Apple Silicon Mac; local deterministic Python post-processing", "notes": "200 shots; framing repaired; no advantage claim", "authors": "Monit Sharma, Hoong Chuin Lau", "institutions": "Singapore Management University" } ]