{"id":19598373,"url":"https://github.com/beingamanforever/mcs-using-quantum-computing","last_synced_at":"2026-03-02T16:32:19.383Z","repository":{"id":205457826,"uuid":"714287336","full_name":"beingamanforever/MCS-using-Quantum-Computing","owner":"beingamanforever","description":"I made a Portfolio Optimiser using Hadamard Gate and Quantum circuits. I used a Qiskit simulator (qasm_simulator) to simulate the circuits of qubits. I also compared the quantum approach with classical optimisation techniques \u0026 discussed the differences. Monte Carlo Simulation of the assets was also done to forecast their future variations.","archived":false,"fork":false,"pushed_at":"2023-12-07T09:00:23.000Z","size":5493,"stargazers_count":8,"open_issues_count":1,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-09T07:46:51.750Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/beingamanforever.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2023-11-04T13:21:15.000Z","updated_at":"2024-12-15T21:25:03.000Z","dependencies_parsed_at":"2023-11-30T20:38:16.274Z","dependency_job_id":null,"html_url":"https://github.com/beingamanforever/MCS-using-Quantum-Computing","commit_stats":null,"previous_names":["beingamanforever/mcs-using-quantum-computing"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/beingamanforever%2FMCS-using-Quantum-Computing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/beingamanforever%2FMCS-using-Quantum-Computing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/beingamanforever%2FMCS-using-Quantum-Computing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/beingamanforever%2FMCS-using-Quantum-Computing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/beingamanforever","download_url":"https://codeload.github.com/beingamanforever/MCS-using-Quantum-Computing/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240876855,"owners_count":19871903,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":[],"created_at":"2024-11-11T09:05:58.035Z","updated_at":"2026-03-02T16:32:14.349Z","avatar_url":"https://github.com/beingamanforever.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MCS-using-Quantum-Computing\n\nHere I focused upon Portfolio Optimisation and forecasting using sub modules offered by qiskit. I also compared how the classical and quantum approaches compare to each other, thus providing a brief insight upon how quantum computing techniques may be used to solve NP hard problems (mean-variance optimization problem in this case)\nTaking inspiration from my previous project upon Monte carlo simulation of time series, I have extended the discussion into quantum techniques as I was curious to see how they perform in comparision to classical techniques. \n\n# About the project\nI used a Qiskit simulator (qasm_simulator) to simulate the circuits of qubits, applied hadamard gate superposition to the qubits to generate the portfolios. I also compared the quantum approach with classical optimisation techniques \u0026 discussed the differences. Monte Carlo Simulation of the assets was also done to forecast their future variations.\n\n![forecast](https://github.com/beingamanforever/MCS-using-Quantum-Computing/assets/121532863/6a6d8983-fdfd-405a-92d5-d07ebffeb08d)\n\n# Important Links\n\u003e [!IMPORTANT]\n\u003e Do refer the following links for the complete overview and documentation of the project\nMedium Documentation - [Link](https://medium.com/@beingamanforever/portfolio-optimisation-using-monte-carlo-simulation-25d88003782e)\n, Alternate approach via Classical methods - [Medium Link](https://medium.com/@beingamanforever/portfolio-optimisation-using-monte-carlo-simulation-25d88003782e) , [Github Repository Link](https://github.com/beingamanforever/Monte-Carlo-Simulation), \n\n\n# References used\n\u003e [!IMPORTANT]\n\u003e Below are the references I used to learn and refer\n1. My project on MCS [Link](https://github.com/beingamanforever/Monte-Carlo-Simulation)\n2. Qiskit documentation on Portfolio Optimisation\n3. Portfolio Optimization using Qiskit and Eikon Data API  [Link](https://www.youtube.com/watch?v=5S38HYloiaY)\n4. Monte Carlo Simulation lecture by MIT [Link](https://www.youtube.com/watch?v=OgO1gpXSUzU)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbeingamanforever%2Fmcs-using-quantum-computing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbeingamanforever%2Fmcs-using-quantum-computing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbeingamanforever%2Fmcs-using-quantum-computing/lists"}