Summary of Our Research on Quantum Circuits
- PROJECT SUMMARY
- Title:
- Quantum Approaches to Logic Circuit Synthesis and Testing
- Organization:
- University of Michigan, Ann Arbor
- Principal Investigators:
-
- John P. Hayes, jhayes@eecs.umich.edu
- Igor Markov, imarkov@eecs.umich.edu
- Administrative Assistant:
- Denise Duprie, duprie@eecs.umich.edu
- Period:
- Four Years: June 1, 2001 to May 31, 2005
- PROJECT GOALS
-
Apply quantum computing concepts in an integrated way to automated
synthesis, simulation and testing of conventional and quantum logic
circuits in order to
- Obtain a deeper understanding of both areas
- Devise efficient methods to solve practical problems in both
the quantum and classical domains.
- Noteworthy Features
- Benefits should accrue to conventional CAD technology,
even if a practical quantum technology is unavailable within
the project's timeframe.
- We will study algorithms where quantum computing offers no
worst-case speed-up, but may offer practical speed-up, lower power,
or other advantages.
- RESEARCH DIRECTIONS
- Task 1: Synthesis
-
- Automatic synthesis of quantum circuits with
implementation-sensitive constraints and gate libraries
- Synthesis and comparison of multiple alternative quantum circuits
- Search for high-quality, especially optimal, quantum circuits
- Identify scalable methods in conventional circuit synthesis that
are extendable to quantum designs
- Task 2: Simulation and Testing
-
- Applicability of conventional fault models to quantum circuits.
- Impact of reversibility on fault modeling and test generation
in large-scale conventional circuits.
- Modeling of errors and error propagation in quantum circuits
- Efficient modeling of error propagation in reversible conventional circuits
- Testing of quantum circuits
- MILESTONES
- Year 1:
- Development of basic design methodology for synthesis, simulation
and testing of quantum and reversible conventional circuits
- Year 2:
- Software implementation of circuit test, simulation and
optimization algorithms
- Year 3:
- Empirical comparison of algorithms for circuit synthesis, test and
optimization. Evaluation of specific quantum circuit designs.