BPBO performs certified local resynthesis on one- to three-wire regions of BFK09 brickwork to reduce pattern size while preserving UBQC blindness, demonstrated on Grover and Toffoli cases with reductions up to 3x725 to 3x98.
Synthesis of Quantum Logic Circuits
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
We discuss efficient quantum logic circuits which perform two tasks: (i) implementing generic quantum computations and (ii) initializing quantum registers. In contrast to conventional computing, the latter task is nontrivial because the state-space of an n-qubit register is not finite and contains exponential superpositions of classical bit strings. Our proposed circuits are asymptotically optimal for respective tasks and improve published results by at least a factor of two. The circuits for generic quantum computation constructed by our algorithms are the most efficient known today in terms of the number of expensive gates (quantum controlled-NOTs). They are based on an analogue of the Shannon decomposition of Boolean functions and a new circuit block, quantum multiplexor, that generalizes several known constructions. A theoretical lower bound implies that our circuits cannot be improved by more than a factor of two. We additionally show how to accommodate the severe architectural limitation of using only nearest-neighbor gates that is representative of current implementation technologies. This increases the number of gates by almost an order of magnitude, but preserves the asymptotic optimality of gate counts.
fields
quant-ph 2verdicts
UNVERDICTED 2representative citing papers
Review of quantum neural networks on gate-based quantum computers for molecular property prediction and generation in drug discovery.
citing papers explorer
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BPBO: Blindness-Preserving Brickwork Optimization by Certified Region Resynthesis
BPBO performs certified local resynthesis on one- to three-wire regions of BFK09 brickwork to reduce pattern size while preserving UBQC blindness, demonstrated on Grover and Toffoli cases with reductions up to 3x725 to 3x98.
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Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries
Review of quantum neural networks on gate-based quantum computers for molecular property prediction and generation in drug discovery.