Efficient Ancilla-Free Reversible and Quantum Circuits for the Hidden Weighted Bit Function.

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Title: Efficient Ancilla-Free Reversible and Quantum Circuits for the Hidden Weighted Bit Function.
Authors: Bravyi, Sergey1 (AUTHOR) sbravyi@us.ibm.com, Yoder, Theodore J.1 (AUTHOR) ted.yoder@ibm.com, Maslov, Dmitri1 (AUTHOR) dmitri.maslov@ibm.com
Source: IEEE Transactions on Computers. May2022, Vol. 71 Issue 5, p1170-1180. 11p.
Subjects: Circuit complexity, Quantum computing, Computer science, Hamming weight, Logic circuits
Abstract: The Hidden Weighted Bit function plays an important role in the study of classical models of computation. A common belief is that this function is exponentially hard to implement using reversible ancilla-free circuits, even though introducing a small number of ancillae allows a very efficient implementation. In this paper, we refute the exponential hardness conjecture by developing a polynomial-size reversible ancilla-free circuit computing the Hidden Weighted Bit function. Our circuit has size $O(n^{6.42})$ O (n 6. 42) , where $n$ n is the number of input bits. We also show that the Hidden Weighted Bit function can be computed by a quantum ancilla-free circuit of size $O(n^2)$ O (n 2) . The technical tools employed come from a combination of Theoretical Computer Science (Barrington's theorem) and Physics (simulation of fermionic Hamiltonians) techniques. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
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Abstract:The Hidden Weighted Bit function plays an important role in the study of classical models of computation. A common belief is that this function is exponentially hard to implement using reversible ancilla-free circuits, even though introducing a small number of ancillae allows a very efficient implementation. In this paper, we refute the exponential hardness conjecture by developing a polynomial-size reversible ancilla-free circuit computing the Hidden Weighted Bit function. Our circuit has size $O(n^{6.42})$ O (n 6. 42) , where $n$ n is the number of input bits. We also show that the Hidden Weighted Bit function can be computed by a quantum ancilla-free circuit of size $O(n^2)$ O (n 2) . The technical tools employed come from a combination of Theoretical Computer Science (Barrington's theorem) and Physics (simulation of fermionic Hamiltonians) techniques. [ABSTRACT FROM AUTHOR]
ISSN:00189340
DOI:10.1109/TC.2021.3076435