Creating a new generation of computing devices
Quantum computing is a field of research that applies the principles of quantum physics and new directions in materials science to building a new type of computers that use quantum effects in computation. Beyond creating quantum computers, the field also includes studies of algorithms that such computers can execute.
We are exploring theoretical and experimental approaches to creating quantum computers. We employ researchers, theorists, and experimentalists from mathematics, physics, and computer science, in partnership with academic and research institutions around the globe. Our mission is to advance our understanding of both quantum computing and its applications and implementation: Our team also is dedicated to developing real-world quantum algorithms, understanding their implications, and designing comprehensive software architecture for programming such algorithms on a scalable, fault-tolerant, quantum computer.
Nathan Wiebe, Ashish Kapoor, and Krysta M. Svore, Quantum Nearest-neighbor Algorithms for Machine Learning, in Quantum Information and Computation, vol. 15, no. 3&4, pp. 0318-0358, Rinton Press, March 2015
Jonathan Welch, Alex Bocharov, and Krysta M. Svore, Efficient Approximation of Diagonal Unitaries over the Clifford+T Basis, December 2014
Nathan Wiebe, Ashish Kapoor, and Krysta M. Svore, Quantum Deep Learning, December 2014
Dave Wecker, Ryan Babush, Nathan Wiebe, Alan Aspuru Guzik, and Jarrod McClean, On the chemical basis of Trotter-Suzuki errors in quantum chemistry simulation, arXiv, November 2014
- Topological Quantum Computing
- LIQUi|>: Language-Integrated Quantum Operations
- Quantum Architectures and Computation Group (QuArC)
- Lattice-based Cryptography
Stories about our quantum research
- Station Q: The Quest for a Quantum Future
- Microsoft's Quantum Mechanics (MIT Technology Review)
- Station Q lab page