{"id":26240061,"url":"https://github.com/vtomole/qmc","last_synced_at":"2026-03-13T20:34:54.354Z","repository":{"id":281439316,"uuid":"828727427","full_name":"vtomole/qmc","owner":"vtomole","description":"A python framework for Hamiltonian Quantum computation","archived":false,"fork":false,"pushed_at":"2025-02-09T00:38:58.000Z","size":21,"stargazers_count":2,"open_issues_count":3,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-20T09:29:10.896Z","etag":null,"topics":["quantum-computing","reversible-computation"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vtomole.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-07-15T02:14:52.000Z","updated_at":"2025-08-25T17:20:47.000Z","dependencies_parsed_at":null,"dependency_job_id":"0b8abf18-456f-434d-b768-a8121c26930a","html_url":"https://github.com/vtomole/qmc","commit_stats":null,"previous_names":["vtomole/qmc"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/vtomole/qmc","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vtomole%2Fqmc","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vtomole%2Fqmc/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vtomole%2Fqmc/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vtomole%2Fqmc/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vtomole","download_url":"https://codeload.github.com/vtomole/qmc/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vtomole%2Fqmc/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30474902,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-13T17:15:31.527Z","status":"ssl_error","status_checked_at":"2026-03-13T17:15:22.394Z","response_time":60,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["quantum-computing","reversible-computation"],"created_at":"2025-03-13T07:18:46.900Z","updated_at":"2026-03-13T20:34:54.346Z","avatar_url":"https://github.com/vtomole.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n# qmc: A python framework for Hamiltonian Quantum computation\nqmc, named after the title of a [foundational paper (pdf)](http://www.quantum-dynamic.eu/doc/feynman85_qmc_optics_letters.pdf) in quantum computing, is a library for writing, manipulating, and optimizing Hamiltonian quantum computers.\n## Installation\nThe qmc package is available via `pip` and can be installed in your current Python environment with the command:\n\n```\npip install qmc\n```\n\n## Getting started\nHamiltonian quantum computers were first invented with the potential application of performing dissipasion-free computation. qmc allows one perform such\nresource estimations. Below is a circuit composed of `NOT` gates which shows that executing a circuit on a Hamiltonian quantum computer dissipates less energy than on a classical computer.  \n```python\nimport cirq\nfrom qmc.qmc import simulate\nqubit = cirq.GridQubit(0, 0)\n\ncircuit = cirq.Circuit(\n        cirq.X(qubit),\n        cirq.X(qubit),\n        cirq.X(qubit),\n        cirq.X(qubit),\n        cirq.X(qubit),\n    )\n\nresult = simulate(circuit, 100)\nprint(result.output)\n# prints\n# m=1\nprint(result.quantum_energy_cost \u003c result.classical_energy_cost)\n# prints\n# True\n```\n\n### Feature requests / Bugs / Questions\nIf you have questions, feature requests or you found a bug, [please file them on Github](https://github.com/vtomole/qmc/issues).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvtomole%2Fqmc","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvtomole%2Fqmc","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvtomole%2Fqmc/lists"}