Built on

Alexander J. McCaskey, Dmitry I. Lyakh, Eugene F. Dumitrescu, Sarah S. Powers, and Travis S. Humble, “XACC: A system-level software infrastructure for heterogeneous quantum-classical computing,” arXiv preprint (2019), arXiv:1911.02452 [quant-ph]
Original
1911
Earlier work this paper cites.
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Ramin Halavati, Murphy Yuezhen Niu, Alexander Zlokapa, Evan Peters, Owen Lockwood, Andrea Skolik, Sofiene Jerbi, Vedran Dunjko, Martin Leib, Michael Streif, David Von Dollen, Hongxiang Chen, Shuxiang Cao, Roeland Wiersema, Hsin-Yuan Huang, Jarrod R. McClean, Ryan Babbush, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, and Masoud Mohseni, “Tensorflow quantum: A software framework for quantum machine learning,” (2021), arXiv:2003.02989 [quant-ph]
Original
2003
Earlier work this paper cites.
Ryan LaRose, Andrea Mari, Sarah Kaiser, Peter J. Karalekas, Andre A. Alves, Piotr Czarnik, Mohamed El Mandouh, Max H. Gordon, Yousef Hindy, Aaron Robertson, Purva Thakre, Nathan Shammah, and William J. Zeng, “Mitiq: A software package for error mitigation on noisy quantum computers,” (2020), arXiv:2009.04417 [quant-ph]
Original
2009
Earlier work this paper cites.
Thien Nguyen, Anthony Santana, Tyler Kharazi, Daniel Claudino, Hal Finkel, and Alexander McCaskey, “Extending C++ for Heterogeneous Quantum-Classical Computing,” (2020), arXiv:2010.03935 [quant-ph]
Original
2010
Earlier work this paper cites.
Shi-Xin Zhang, Chang-Yu Hsieh, Shengyu Zhang, and Hong Yao, “Differentiable quantum architecture search,” (2021), arXiv:2010.08561 [quant-ph]
Original
2010
Earlier work this paper cites.
Alexander S. Green, Peter LeFanu Lumsdaine, Neil J. Ross, Peter Selinger, and Benoît Valiron, “Quipper: A scalable quantum programming language,” in Proceedings of the 34th ACM SIGPLAN Conference on Programming Language Design and Implementation , PLDI ’13 (Association for Computing Machinery, New York, NY, USA, 2013) p. 333–342
2013
Earlier work this paper cites.
Dougal Maclaurin, David Duvenaud, and Ryan P Adams, “Autograd: Effortless gradients in numpy,” in ICML 2015 AutoML Workshop , Vol. 238 (2015) p. 5
2015
Earlier work this paper cites.
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng, “TensorFlow: Large-scale machine learning on heterogeneous systems,” (2015)
2015
Earlier work this paper cites.
Mingsheng Ying, Foundations of Quantum Programming , 1st ed. (Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2016)
2016
Earlier work this paper cites.
Jun Li, Xiaodong Yang, Xinhua Peng, and Chang-Pu Sun, “Hybrid quantum-classical approach to quantum optimal control,” Phys. Rev. Lett. 118
2017
Earlier work this paper cites.
Ying Li and Simon C. Benjamin, “Efficient variational quantum simulator incorporating active error minimization,” Physical Review X 7
2017
Earlier work this paper cites.
Kristan Temme, Sergey Bravyi, and Jay M. Gambetta, “Error mitigation for short-depth quantum circuits,” Physical Review Letters 119
2017
Earlier work this paper cites.

Similar

James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang, “JAX: composable transformations of Python+NumPy programs,” (2018)
2018
Cited alongside, same era.
K. Mitarai, M. Negoro, M. Kitagawa, and K. Fujii, “Quantum circuit learning,” Phys. Rev. A 98
2018
Cited alongside, same era.
Yunseong Nam, Neil J. Ross, Yuan Su, Andrew M. Childs, and Dmitri Maslov, “Automated optimization of large quantum circuits with continuous parameters,” npj Quantum Information 4
2018
Cited alongside, same era.
Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, and Lei Wang, “Yao.jl: Extensible, efficient framework for quantum algorithm design,” (2019)
2019
Cited alongside, same era.

Then

Mark Skilbeck, Eric Peterson, appleby, Erik Davis, Peter Karalekas, Juan M. Bello-Rivas, Daniel Kochmanski, Zach Beane, Robert Smith, Andrew Shi, Cole Scott, Adam Paszke, Eric Hulburd, Matthew Young, Aaron S. Jackson, BHAVISHYA, M. Sohaib Alam, Wilfredo Velázquez-Rodríguez, c. b. osborn, fengdlm, and jmackeyrigetti, “rigetti/quilc: v1.21.0,” (2020)
2020
Later among the works it cites.
Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose, Andrea Mari, and William J. Zeng, “Digital zero noise extrapolation for quantum error mitigation,” 2020 IEEE International Conference on Quantum Computing and Engineering (QCE) , 306–316 (2020)
2020
Later among the works it cites.
MD SAJID ANIS, Héctor Abraham, AduOffei, Rochisha Agarwal, and Gabriele Agliardi et al., “Qiskit: An open-source framework for quantum computing,” (2021)
2021
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Reading the bibliography…

2022

Quantum computing with differentiable quantum transforms

Di Matteo, Olivia, Izaac, Josh, Bromley, Tom et al.

Understand

We present a framework for differentiable quantum transforms.

Such transforms are metaprograms capable of manipulating quantum programs in a way that preserves their differentiability.
We highlight their potential with a set of relevant examples across quantum computing (gradient computation, circuit compilation, and error mitigation), and implement them using the transform framework of PennyLane, a software library for differentiable quantum programming.
In this framework, the transforms themselves are differentiable and can be parametrized and optimized, which opens up the possibility of improved quantum resource requirements across a spectrum of tasks.

Built on

Alexander J. McCaskey, Dmitry I. Lyakh, Eugene F. Dumitrescu, Sarah S. Powers, and Travis S. Humble, “XACC: A system-level software infrastructure for heterogeneous quantum-classical computing,” arXiv preprint (2019), arXiv:1911.02452 [quant-ph]
Original
1911
Earlier work this paper cites.
Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Ramin Halavati, Murphy Yuezhen Niu, Alexander Zlokapa, Evan Peters, Owen Lockwood, Andrea Skolik, Sofiene Jerbi, Vedran Dunjko, Martin Leib, Michael Streif, David Von Dollen, Hongxiang Chen, Shuxiang Cao, Roeland Wiersema, Hsin-Yuan Huang, Jarrod R. McClean, Ryan Babbush, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, and Masoud Mohseni, “Tensorflow quantum: A software framework for quantum machine learning,” (2021), arXiv:2003.02989 [quant-ph]
Original
2003
Earlier work this paper cites.
Ryan LaRose, Andrea Mari, Sarah Kaiser, Peter J. Karalekas, Andre A. Alves, Piotr Czarnik, Mohamed El Mandouh, Max H. Gordon, Yousef Hindy, Aaron Robertson, Purva Thakre, Nathan Shammah, and William J. Zeng, “Mitiq: A software package for error mitigation on noisy quantum computers,” (2020), arXiv:2009.04417 [quant-ph]
Original
2009
Earlier work this paper cites.
Thien Nguyen, Anthony Santana, Tyler Kharazi, Daniel Claudino, Hal Finkel, and Alexander McCaskey, “Extending C++ for Heterogeneous Quantum-Classical Computing,” (2020), arXiv:2010.03935 [quant-ph]
Original
2010
Earlier work this paper cites.
Shi-Xin Zhang, Chang-Yu Hsieh, Shengyu Zhang, and Hong Yao, “Differentiable quantum architecture search,” (2021), arXiv:2010.08561 [quant-ph]
Original
2010
Earlier work this paper cites.
Alexander S. Green, Peter LeFanu Lumsdaine, Neil J. Ross, Peter Selinger, and Benoît Valiron, “Quipper: A scalable quantum programming language,” in Proceedings of the 34th ACM SIGPLAN Conference on Programming Language Design and Implementation , PLDI ’13 (Association for Computing Machinery, New York, NY, USA, 2013) p. 333–342
2013
Earlier work this paper cites.
Dougal Maclaurin, David Duvenaud, and Ryan P Adams, “Autograd: Effortless gradients in numpy,” in ICML 2015 AutoML Workshop , Vol. 238 (2015) p. 5
2015
Earlier work this paper cites.
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng, “TensorFlow: Large-scale machine learning on heterogeneous systems,” (2015)
2015
Earlier work this paper cites.
Mingsheng Ying, Foundations of Quantum Programming , 1st ed. (Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 2016)
2016
Earlier work this paper cites.
Jun Li, Xiaodong Yang, Xinhua Peng, and Chang-Pu Sun, “Hybrid quantum-classical approach to quantum optimal control,” Phys. Rev. Lett. 118
2017
Earlier work this paper cites.
Ying Li and Simon C. Benjamin, “Efficient variational quantum simulator incorporating active error minimization,” Physical Review X 7
2017
Earlier work this paper cites.
Kristan Temme, Sergey Bravyi, and Jay M. Gambetta, “Error mitigation for short-depth quantum circuits,” Physical Review Letters 119
2017
Earlier work this paper cites.

Similar

James Bradbury, Roy Frostig, Peter Hawkins, Matthew James Johnson, Chris Leary, Dougal Maclaurin, George Necula, Adam Paszke, Jake VanderPlas, Skye Wanderman-Milne, and Qiao Zhang, “JAX: composable transformations of Python+NumPy programs,” (2018)
2018
Cited alongside, same era.
K. Mitarai, M. Negoro, M. Kitagawa, and K. Fujii, “Quantum circuit learning,” Phys. Rev. A 98
2018
Cited alongside, same era.
Yunseong Nam, Neil J. Ross, Yuan Su, Andrew M. Childs, and Dmitri Maslov, “Automated optimization of large quantum circuits with continuous parameters,” npj Quantum Information 4
2018
Cited alongside, same era.
Xiu-Zhe Luo, Jin-Guo Liu, Pan Zhang, and Lei Wang, “Yao.jl: Extensible, efficient framework for quantum algorithm design,” (2019)
2019
Cited alongside, same era.

Then

Mark Skilbeck, Eric Peterson, appleby, Erik Davis, Peter Karalekas, Juan M. Bello-Rivas, Daniel Kochmanski, Zach Beane, Robert Smith, Andrew Shi, Cole Scott, Adam Paszke, Eric Hulburd, Matthew Young, Aaron S. Jackson, BHAVISHYA, M. Sohaib Alam, Wilfredo Velázquez-Rodríguez, c. b. osborn, fengdlm, and jmackeyrigetti, “rigetti/quilc: v1.21.0,” (2020)
2020
Later among the works it cites.
Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose, Andrea Mari, and William J. Zeng, “Digital zero noise extrapolation for quantum error mitigation,” 2020 IEEE International Conference on Quantum Computing and Engineering (QCE) , 306–316 (2020)
2020
Later among the works it cites.
MD SAJID ANIS, Héctor Abraham, AduOffei, Rochisha Agarwal, and Gabriele Agliardi et al., “Qiskit: An open-source framework for quantum computing,” (2021)
2021
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala, “Pytorch: An imperative style, high-performance deep learning library,” in Advances in Neural Information Processing Systems 32 , edited by H. Wallach, H. Larochelle, A. Beygelzimer, F. d'Alché-Buc, E. Fox, and R. Garnett (Curran Associates, Inc., 2019) pp. 8024–8035

2019

Cited alongside, same era.

Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran, “Evaluating analytic gradients on quantum hardware,” Physical Review A 99

2019

Cited alongside, same era.

Abhinav Kandala, Kristan Temme, Antonio D. Córcoles, Antonio Mezzacapo, Jerry M. Chow, and Jay M. Gambetta, “Error mitigation extends the computational reach of a noisy quantum processor,” Nature 567

2019

Cited alongside, same era.

Sumeet Khatri, Ryan LaRose, Alexander Poremba, Lukasz Cincio, Andrew T. Sornborger, and Patrick J. Coles, “Quantum-assisted quantum compiling,” Quantum 3

2019

Cited alongside, same era.

Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, M. Sohaib Alam, Shahnawaz Ahmed, Juan Miguel Arrazola, Carsten Blank, Alain Delgado, Soran Jahangiri, Keri McKiernan, Johannes Jakob Meyer, Zeyue Niu, Antal Száva, and Nathan Killoran, “Pennylane: Automatic differentiation of hybrid quantum-classical computations,” (2020), arXiv:1811.04968 [quant-ph]

Original

2020

Cited alongside, same era.

Seyon Sivarajah, Silas Dilkes, Alexander Cowtan, Will Simmons, Alec Edgington, and Ross Duncan, “t | | ket ⟩ \rangle : a retargetable compiler for nisq devices,” Quantum Science and Technology 6

2020

Cited alongside, same era.

Shaopeng Zhu, Shih-Han Hung, Shouvanik Chakrabarti, and Xiaodi Wu, “On the principles of differentiable quantum programming languages,” in Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation (ACM, 2020) pp. 272–285

2020

Cited alongside, same era.

Matthew Amy and Vlad Gheorghiu, “staq—a full-stack quantum processing toolkit,” Quantum Science and Technology 5

2020

Cited alongside, same era.

Jakob S Kottmann, Sumner Alperin-Lea, Teresa Tamayo-Mendoza, Alba Cervera-Lierta, Cyrille Lavigne, Tzu-Ching Yen, Vladyslav Verteletskyi, Philipp Schleich, Abhinav Anand, Matthias Degroote, Skylar Chaney, Maha Kesibi, Naomi Grace Curnow, Brandon Solo, Georgios Tsilimigkounakis, Claudia Zendejas-Morales, Artur F Izmaylov, and Alán Aspuru-Guzik, “Tequila: a platform for rapid development of quantum algorithms,” Quantum Science and Technology 6

2021

Later among the works it cites.

Adam Paszke, Daniel Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew Johnson, Jonathan Ragan-Kelley, and Dougal Maclaurin, “Getting to the point. index sets and parallelism-preserving autodiff for pointful array programming,” (2021), arXiv:2104.05372 [cs.PL]

Original

2021

Later among the works it cites.

Richard Zou Horace He, “functorch: Jax-like composable function transforms for pytorch,” (2021)

2021

Later among the works it cites.

Cirq Developers, “Cirq,” (2021)

2021

Later among the works it cites.