Scientific Publications and Pre-prints

Please also see my Google Scholar for article citations and arXiv page for full text access.

[5] Carlos Bravo-Prieto, Ryan LaRose, M Cerezo, Yigit Subasi, Lukasz Cincio, Patrick J Coles, Variational quantum linear solver: A hybrid algorithm for linear systems. arXiv preprint. https://arxiv.org/abs/1909.05820.

[4] Ryan LaRose, Arkin Tikku, Etude O'Neel-Judy, Lukasz Cincio, and Patrick J. Coles, Variational quantum state diagonalization, npj Quant. Inf. 5, 8 (2019).

[3] Sumeet Khatri, Ryan LaRose, Alexander Poremba, Lukasz Cincio, Andrew T. Sornborger, and Patrick J. Coles, Quantum assisted quantum compiling, Quantum 3, 140 (2019).

[2] Ryan LaRose, Overview and comparison of gate level quantum software platforms, Quantum 3, 130 (2019).

[1] Ryan LaRose, Distributed memory techniques for classical simulation of quantum circuits. arXiv preprint. https://arxiv.org/abs/1801.01037.

Other Writing

[3] Contributing author, chapters 6-10 and problem sets. Jack Hidary, Quantum computing: An applied approach, Springer International Publishing, 2019.

[2] Ryan LaRose, Teaching quantum computing through programming. Article on Medium. 2019.

[1] Ryan LaRose, Practical Quantum Computing with Cirq. Interactive Jupyter notebook on GitHub and an HTML article on the Quantum Computing Report. 2019.

Presentations

[16] (02-10-2020) Variational quantum linear solver on Rigetti Aspen-7, Rigetti Advantage 2020, Sacramento, California.

[15] (02-08-2020) [Poster, Picture] Variational quantum linear solver, SQuInT 2020, University of Oregon, Eugene, Oregon.

[14] (02-01-2020) Quantum classifiers, robust data encodings, and software to implement them. Quantum Computing Dev Room, FOSDEM 2020, Brussels, Belgium.

[13] (01-30-2020) Quantum subspace expansion and simultaneous measurements. Research seminar, AFIT/AFRL Quantum Computing Short Course, Dayton, Ohio.

[12] (10-28-2019) Quantum algorithms for linear systems of equations. Guest lecture, CME250Q: Intro to QC and Quantum Algorithms, Stanford, Palo Alto, Ca.

[11] (10-22-2019) Robust data encodings for quantum classifiers. Quantum Techniques in Machine Learning, Daejon, South Korea.

[10] (08-16-2019) Quantum singular value estimation and its applications. IBM Quantum research seminar, IBM T. J. Watson Research Center, Yorktown Heights, NY.

[9] (03-05-2019) Quantum software platforms, APS March 2019, Boston, Massachusetts.

[8] (02-03-2019) Towards practical quantum machine learning with NISQAI, FOSDEM 2019 Quantum Computing Devroom. Brussels, Belgium.

[7] (01-14-2019) [Poster, picture] Variational Quantum State Diagonalization, QIP 2019, University of Boulder. Boulder, Colorado.

[6] (09-17-2018) [Poster, picture] Overview and comparison of gate level quantum software platforms,  YQIS 2018, University of Vienna. Vienna, Austria.

[5] (08-01-2018) [Poster] Quantum-assisted quantum compiling, 2018 Student Symposium, Los Alamos National Laboratory. Los Alamos, New Mexico.
Recipient of 2018 Outstanding Poster Presentation in Physics.

[5] (04-14-2018) Distributed memory techniques for classical simulation of quantum circuits, Columbus, Ohio, APS April Meeting 2018. Slides: presented, long version.

[4] (03-29-2018) [Poster, picture] Distributed memory techniques for classical simulation of quantum circuits,  Michigan State University, Engr. Grad. Research Symp.

[3] (02-17-2018) Quantum teleportation with photons. Michigan State University, 10th annual Graduate Academic Conference. East Lansing, Michigan.

[2] (11-30-2017) Optical simulation of quantum information. University of Michigan, Quantum Information Processing Seminar, Ann Arbor, Michigan.

[1] (07-17-2017) Introduction to digital and analog quantum simulation. University of Michigan, Quantum Information Processing Seminar. Ann Arbor, Michigan.