6.2.3 Quantum Computation and Communication
Abstract
The overall objective of the proposed research is to explore quantum algorithms and to advance the state of the art of gate-model quantum computation of quantum chemistry. Specific objectives include exploration of quantum chemistry algorithms that exhibit the lowest-possible scaling as a function of molecular size. In addition, algorithms that have larger scaling exponents but lower prefactors will be explored for potential early implementation using small numbers of qubits. The overall proposed research pursues exploration and development of quantum algorithms that exhibit both the lowest-possible overall scaling as a function of molecular size and the lowest-possible absolute quantum gate counts. The proposed research will explore multiple possible paths in this space of potential quantum algorithms. Initial paths include formalisms utilizing first or second quantization, Trotter or post-Trotter methods, and classical or quantum integral computation. Several different methods utilizing these formalisms exist, as do several different ways to combine them. Some of the possibilities which will be explored include sparse simulation algorithms, quantum random access memories (QRAM), quantum integration techniques, sparse Hamiltonian approaches, Bravyi-Kitaev transformations from fermions to quantum bits, and real space and grid based methods. Additionally, the proposed research will explore algorithms that have early possible realizations. Specifically, these will include algorithms that have larger scaling exponents than optimal, but lower prefactors. Research collaborations with experimental groups will be pursued, specifically superconducting qubit, ion trap, and quantum optics groups. These collaborations will help focus the proposed research on the most promising implementations.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 12, 2017
- Source ID
- W911NF1510256
Entities
People
- Alán Aspuru-Guzik
Organizations
- Army Contracting Command
- Harvard University
- United States Army