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Short-depth algorithms are crucial for reducing computational error on near-term quantum computers, for which decoherence and gate infidelity remain important issues.
Logic synthesis and verification algorithms (Boston, MA: Kluwer, 1996)
Hachtel, G. D. & Somenzi, F · 1996
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Five two-bit quantum gates are sufficient to implement the quantum Fredkin gate
Smolin, J. A. & DiVincenzo, D. P · 1996
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Quantum fingerprinting
Buhrman, H., Cleve, R., Watrous, J. & De Wolf, R · 2001
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Quantum digital signatures
Gottesman, D. & Chuang, I · 2001
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Evolutionary approach to quantum and reversible circuits synthesis
Lukac, M. et al · 2003
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Optimal control of coupled spin dynamics: design of NMR pulse sequences by gradient ascent algorithms
Khaneja, N., Reiss, T., Kehlet, C., Schulte-Herbrüggen, T. & Glaser, S. J · 2005
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A review of procedures to evolve quantum algorithms
Gepp, A. & Stocks, P · 2009
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On the CNOT-cost of Toffoli gates
Shende, V. V. & Markov, I. L · 2009
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Quantum computing and the entanglement frontier
Preskill, J · 2012
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Surface codes: Towards practical large-scale quantum computation
Fowler, A. G., Mariantoni, M., Martinis, J. M. & Cleland, A. N · 2012
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Simulating the transverse Ising model on a quantum computer: Error correction with the surface code
You, H., Geller, M. R., Stancil, P. et al · 2013
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Swap test and Hong-Ou-Mandel effect are equivalent
Garcia-Escartin, J. C. & Chamorro-Posada, P · 2013
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Implementation of a quantum Fredkin gate using an entanglement resource
Ferreyrol, F., Ralph, T. C. & Pryde, G. J · 2013
Cited alongside, same era.
Quantum algorithms for supervised and unsupervised machine learning
Lloyd, S., Mohseni, M. & Rebentrost, P · 2013
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Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning
Wiebe, N., Kapoor, A. & Svore, K · 2014
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Quantum support vector machine for big data classification
Rebentrost, P., Mohseni, M. & Lloyd, S · 2014
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Svore, K. M., Hastings, M. B. & Freedman, M · 2014
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Generating three-qubit quantum circuits with neural networks
Swaddle, M., Noakes, L., Smallbone, H., Salter, L. & Wang, J · 2017
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Measuring the Renyi entropy of a two-site Fermi-Hubbard model on a trapped ion quantum computer
Linke, N. M. et al · 2017
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Open Quantum Assembly Language
Cross, A. W., Bishop, L. S., Smolin, J. A. & Gambetta, J. M · 2017
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Entanglement spectroscopy on a quantum computer
Johri, S., Steiger, D. S. & Troyer, M · 2017
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A blueprint for demonstrating quantum supremacy with superconducting qubits
Neill, C. et al · 2018
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Compiling quantum algorithms for architectures with multi-qubit gates
Martinez, E. A., Monz, T., Nigg, D., Schindler, P. & Blatt, R · 2016
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Designing high-fidelity single-shot three-qubit gates: a machine-learning approach
Zahedinejad, E., Ghosh, J. & Sanders, B. C · 2016
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Genetic algorithms for digital quantum simulations
Las Heras, U., Alvarez-Rodriguez, U., Solano, E. & Sanz, M · 2016
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A quantum Fredkin gate
Patel, R. B., Ho, J., Ferreyrol, F., Ralph, T. C. & Pryde, G. J · 2016
Cited alongside, same era.
A Practical Quantum Instruction Set Architecture
Smith, R. S., Curtis, M. J. & Zeng, W. J · 2016
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Basic circuit compilation techniques for an ion-trap quantum machine
Maslov, D · 2017
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Programming languages and compiler design for realistic quantum hardware
Chong, F. T., Franklin, D. & Martonosi, M · 2017
Cited alongside, same era.
Ball, P · 2018
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A generative modeling approach for benchmarking and training shallow quantum circuits
Benedetti, M., Garcia-Pintos, D., Nam, Y. & Perdomo-Ortiz, A · 2018
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Quantum circuit learning
Mitarai, K., Negoro, M., Kitagawa, M. & Fujii, K · 2018
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Compiling quantum circuits to realistic hardware architectures using temporal planners
Venturelli, D., Do, M., Rieffel, E. & Frank, J · 2018
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Quantum-assisted quantum compiling
Khatri, S. et al · 2018
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A software methodology for compiling quantum programs
Häner, T., Steiger, D. S., Svore, K. & Troyer, M · 2018
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Deep learning for logic optimization algorithms
Haaswijk, W. et al · 2018
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