Learning the quantum algorithm for state overlap
暂无分享,去创建一个
Patrick J. Coles | Andrew T. Sornborger | Lukasz Cincio | Yiugit Subacsi | L. Cincio | Yiugit Subacsi | A. Sornborger | Y. Subaşı
[1] Fabio Somenzi,et al. Logic synthesis and verification algorithms , 1996 .
[2] DiVincenzo,et al. Five two-bit quantum gates are sufficient to implement the quantum Fredkin gate. , 1996, Physical review. A, Atomic, molecular, and optical physics.
[3] Quantum Digital Signatures , 2001, quant-ph/0105032.
[4] R. Cleve,et al. Quantum fingerprinting. , 2001, Physical review letters.
[5] Kyusik Chung,et al. Evolutionary Approach to Quantum and Reversible Circuits Synthesis , 2003, Artificial Intelligence Review.
[6] Timo O. Reiss,et al. Optimal control of coupled spin dynamics: design of NMR pulse sequences by gradient ascent algorithms. , 2005, Journal of magnetic resonance.
[7] Phil Stocks,et al. A review of procedures to evolve quantum algorithms , 2007, Genetic Programming and Evolvable Machines.
[8] Igor L. Markov,et al. On the CNOT-cost of TOFFOLI gates , 2008, Quantum Inf. Comput..
[9] M. Mariantoni,et al. Surface codes: Towards practical large-scale quantum computation , 2012, 1208.0928.
[10] John Preskill,et al. Quantum computing and the entanglement frontier , 2012, 1203.5813.
[11] Michael R. Geller,et al. Simulating the transverse Ising model on a quantum computer: Error correction with the surface code , 2013 .
[12] S. Lloyd,et al. Quantum algorithms for supervised and unsupervised machine learning , 2013, 1307.0411.
[13] Pedro Chamorro-Posada,et al. swap test and Hong-Ou-Mandel effect are equivalent , 2013, 1303.6814.
[14] T. Ralph,et al. Implementation of a quantum Fredkin gate using an entanglement resource , 2013, 2013 Conference on Lasers & Electro-Optics Europe & International Quantum Electronics Conference CLEO EUROPE/IQEC.
[15] Matthew B. Hastings,et al. Faster phase estimation , 2013, Quantum Inf. Comput..
[16] Ashish Kapoor,et al. Quantum Nearest-Neighbor Algorithms for Machine Learning , 2014 .
[17] Masoud Mohseni,et al. Quantum support vector machine for big feature and big data classification , 2013, Physical review letters.
[18] Ashish Kapoor,et al. Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning , 2014, Quantum Inf. Comput..
[19] Barry C. Sanders,et al. Designing High-Fidelity Single-Shot Three-Qubit Gates: A Machine Learning Approach , 2015, ArXiv.
[20] Dmitri Maslov,et al. Basic circuit compilation techniques for an ion-trap quantum machine , 2016, ArXiv.
[21] Matthias Troyer,et al. A software methodology for compiling quantum programs , 2016, ArXiv.
[22] M Sanz,et al. Genetic Algorithms for Digital Quantum Simulations. , 2015, Physical review letters.
[23] William J. Zeng,et al. A Practical Quantum Instruction Set Architecture , 2016, ArXiv.
[24] Daniel Nigg,et al. Compiling quantum algorithms for architectures with multi-qubit gates , 2016, 1601.06819.
[25] Geoff J Pryde,et al. A quantum Fredkin gate , 2016, Science Advances.
[26] Matthias Troyer,et al. Entanglement spectroscopy on a quantum computer , 2017, 1707.07658.
[27] Jeremy Frank,et al. Compiling quantum circuits to realistic hardware architectures using temporal planners , 2017, ArXiv.
[28] Margaret Martonosi,et al. Programming languages and compiler design for realistic quantum hardware , 2017, Nature.
[29] Andrew W. Cross,et al. Open Quantum Assembly Language , 2017, 1707.03429.
[30] Lyle Noakes,et al. Generating three-qubit quantum circuits with neural networks , 2017, 1703.10743.
[31] Keisuke Fujii,et al. Quantum circuit learning , 2018, Physical Review A.
[32] Giovanni De Micheli,et al. Deep Learning for Logic Optimization Algorithms , 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).
[33] H Neven,et al. A blueprint for demonstrating quantum supremacy with superconducting qubits , 2017, Science.
[34] Norbert M. Linke,et al. Measuring the Rényi entropy of a two-site Fermi-Hubbard model on a trapped ion quantum computer , 2017, Physical Review A.
[35] Ryan LaRose,et al. Quantum-assisted quantum compiling , 2018, Quantum.
[36] Alejandro Perdomo-Ortiz,et al. A generative modeling approach for benchmarking and training shallow quantum circuits , 2018, npj Quantum Information.