IBM Research | Quantum Utility: IBM Quantum and UC Berkeley experiment charts path to useful quantum computing @ibmresearch | Uploaded 1 year ago | Updated 1 hour ago
A collaborative experiment between researchers at IBM Quantum and UC Berkeley shows quantum computers delivering reliable, accurate results for challenging simulation problems at a scale of 127 qubits. This scale is far beyond exact brute force methods on the most powerful classical computer. The research demonstrates that only two options now exist for solving quantum simulation problems at this scale: (1) classical approximation methods, which are more scalable but less accurate than exact classical methods, and (2) quantum hardware.
Read more about the IBM Quantum utility paper on the IBM Research blog: https://research.ibm.com/blog/utility-toward-useful-quantum
Learn more about the technical details of the IBM Quantum utility paper on the IBM Technology YouTube channel: https://www.youtube.com/watch?v=JCrvxWZEtSY
Subscribe and stay up to date on news and announcements from IBM Research → http://ibm.biz/subscribe_IBM_Research
A collaborative experiment between researchers at IBM Quantum and UC Berkeley shows quantum computers delivering reliable, accurate results for challenging simulation problems at a scale of 127 qubits. This scale is far beyond exact brute force methods on the most powerful classical computer. The research demonstrates that only two options now exist for solving quantum simulation problems at this scale: (1) classical approximation methods, which are more scalable but less accurate than exact classical methods, and (2) quantum hardware.
Read more about the IBM Quantum utility paper on the IBM Research blog: https://research.ibm.com/blog/utility-toward-useful-quantum
Learn more about the technical details of the IBM Quantum utility paper on the IBM Technology YouTube channel: https://www.youtube.com/watch?v=JCrvxWZEtSY
Subscribe and stay up to date on news and announcements from IBM Research → http://ibm.biz/subscribe_IBM_Research