2 ms·

Quantum annealing https://en.wikipedia.org/wiki/D-Wave_Systems https://en.wikipedia.org/wiki/D-Wave_Systems

westurner 3y ago
Quantum annealing > D-Wave implementations : https://en.wikipedia.org/wiki/Quantum_annealing#D-Wave_implementations https://en.wikipedia.org/wiki/Quantum_annealing#D-Wave_imple... : > In December 2015, Google announced that the D-Wave 2X outperforms both simulated annealing and Quantum Monte Carlo by up to a factor of 100,000,000 on a set of hard optimization problems.[35] Timeline of quantum computing and communication > 2023: https://en.wikipedia.org/wiki/Timeline_of_quantum_computing_and_communication#2023 https://en.wikipedia.org/wiki/Timeline_of_quantum_computing_... : > 14 June [2023] – IBM computer scientists report that a quantum computer produced better results for a physics problem than a conventional supercomputer.[365][366] : "Evidence for the utility of quantum computing before fault tolerance" (2023) : https://www.nature.com/articles/s41586-023-06096-3 https://www.nature.com/articles/s41586-023-06096-3 : > Quantum advantage can be approached in two steps: first, by demonstrating the ability of existing devices to perform accurate computations at a scale that lies beyond brute-force classical simulation, and second by finding problems with associated quantum circuits that derive an advantage from these devices. Here we focus on taking the first step and do not aim to implement quantum circuits for problems with proven speed-ups. Quantum Algorithm Zoo lists speedups by algorithm; https://quantumalgorithmzoo.org/ https://quantumalgorithmzoo.org/ https://westurner.github.io/hnlog/#q-tequila https://westurner.github.io/hnlog/#q-tequila ctrl-f "tequila" : From "Computational Chemistry Using PyTorch" https://news.ycombinator.com/item?id=36825353 https://news.ycombinator.com/item?id=36825353 : > Tequila wraps Psi4, Madness, and/or PySCF for Quantum Chemistry with Expectation Values: https://github.com/tequilahub/tequila#quantumchemistry https://github.com/tequilahub/tequila#quantumchemistry And from https://github.com/tequilahub/tequila#quantum-backends https://github.com/tequilahub/tequila#quantum-backends : > Quantum Backends currently supported by tequilahub/tequila: Qulacs, Qibo, Qiskit, Cirq (SymPy), PyQuil, QLM / myQLM tequilahub/tequila-tutorials: https://github.com/tequilahub/tequila-tutorials https://github.com/tequilahub/tequila-tutorials - tequila-tutorials/BasicUsage.ipynb: https://github.com/tequilahub/tequila-tutorials/blob/main/BasicUsage.ipynb https://github.com/tequilahub/tequila-tutorials/blob/main/Ba... - tequila-tutorials/Quantum_Calculator.ipynb : https://github.com/tequilahub/tequila-tutorials/blob/main/Quantum_Calculator.ipynb https://github.com/tequilahub/tequila-tutorials/blob/main/Qu... Practical Q12 QIS STEM learning exercise ideas: https://news.ycombinator.com/item?id=38687045#38801630 https://news.ycombinator.com/item?id=38687045#38801630

Quantum annealing > D-Wave implementations : https://en.wikipedia.org/wiki/Quantum_annealing#D-Wave_implementations https://en.wikipedia.org/wiki/Quantum_annealing#D-Wave_imple... : > In December 2015, Google announced that the D-Wave 2X outperforms both simulated annealing and Quantum Monte Carlo by up to a factor of 100,000,000 on a set of hard optimization problems.[35] Timeline of quantum computing and communication > 2023: https://en.wikipedia.org/wiki/Timeline_of_quantum_computing_and_communication#2023 https://en.wikipedia.org/wiki/Timeline_of_quantum_computing_... : > 14 June [2023] – IBM computer scientists report that a quantum computer produced better results for a physics problem than a conventional supercomputer.[365][366] : "Evidence for the utility of quantum computing before fault tolerance" (2023) : https://www.nature.com/articles/s41586-023-06096-3 https://www.nature.com/articles/s41586-023-06096-3 : > Quantum advantage can be approached in two steps: first, by demonstrating the ability of existing devices to perform accurate computations at a scale that lies beyond brute-force classical simulation, and second by finding problems with associated quantum circuits that derive an advantage from these devices. Here we focus on taking the first step and do not aim to implement quantum circuits for problems with proven speed-ups. Quantum Algorithm Zoo lists speedups by algorithm; https://quantumalgorithmzoo.org/ https://quantumalgorithmzoo.org/ https://westurner.github.io/hnlog/#q-tequila https://westurner.github.io/hnlog/#q-tequila ctrl-f "tequila" : From "Computational Chemistry Using PyTorch" https://news.ycombinator.com/item?id=36825353 https://news.ycombinator.com/item?id=36825353 : > Tequila wraps Psi4, Madness, and/or PySCF for Quantum Chemistry with Expectation Values: https://github.com/tequilahub/tequila#quantumchemistry https://github.com/tequilahub/tequila#quantumchemistry And from https://github.com/tequilahub/tequila#quantum-backends https://github.com/tequilahub/tequila#quantum-backends : > Quantum Backends currently supported by tequilahub/tequila: Qulacs, Qibo, Qiskit, Cirq (SymPy), PyQuil, QLM / myQLM tequilahub/tequila-tutorials: https://github.com/tequilahub/tequila-tutorials https://github.com/tequilahub/tequila-tutorials - tequila-tutorials/BasicUsage.ipynb: https://github.com/tequilahub/tequila-tutorials/blob/main/BasicUsage.ipynb https://github.com/tequilahub/tequila-tutorials/blob/main/Ba... - tequila-tutorials/Quantum_Calculator.ipynb : https://github.com/tequilahub/tequila-tutorials/blob/main/Quantum_Calculator.ipynb https://github.com/tequilahub/tequila-tutorials/blob/main/Qu... Practical Q12 QIS STEM learning exercise ideas: https://news.ycombinator.com/item?id=38687045#38801630 https://news.ycombinator.com/item?id=38687045#38801630