Experimental demonstration of quantum finite automaton

In quantum information science, a major task is to find the quantum models that can outperform their classical counterparts. Automaton is a fundamental computing model that has wide applications in many fields. It has been shown that the quantum version of automaton can solve certain problem using a much smaller state space compared to the classical automaton. Here we report an experimental demonstration of an optical quantum automaton, which is used to solve the promise problems of determining whether the length of an input string can be divided by a prime number P with no remainder or with a remainder of R. Our quantum automaton can solve such problem using a state space with only three orthonormal states, whereas the classical automaton needs no less than P states. Our results demonstrate the quantum benefits of a quantum automaton over its classical counterpart and paves the way for implementing quantum automaton for more complicated and practical applications.

[1]  Arnold L. Rosenberg,et al.  Theoretical Computer Science, Essays in Memory of Shimon Even , 2006, Essays in Memory of Shimon Even.

[2]  S. Debnath,et al.  Demonstration of a small programmable quantum computer with atomic qubits , 2016, Nature.

[3]  Jarkko Kari,et al.  Image compression using weighted finite automata , 1993, Comput. Graph..

[4]  A. Zeilinger,et al.  Experimental one-way quantum computing , 2005, Nature.

[5]  Samuel Eilenberg,et al.  Automata, languages, and machines. A , 1974, Pure and applied mathematics.

[6]  Todd A. Brun,et al.  Quantum Computing , 2011, Computer Science, The Hardware, Software and Heart of It.

[7]  Dmitri Maslov,et al.  Complete 3-Qubit Grover search on a programmable quantum computer , 2017, Nature Communications.

[8]  Peter W. Shor,et al.  Algorithms for quantum computation: discrete logarithms and factoring , 1994, Proceedings 35th Annual Symposium on Foundations of Computer Science.

[9]  Jun Li,et al.  Enhancing quantum control by bootstrapping a quantum processor of 12 qubits , 2017, 1701.01198.

[10]  Christian Schneider,et al.  High-efficiency multiphoton boson sampling , 2017, Nature Photonics.

[11]  Andris Ambainis,et al.  Two-way finite automata with quantum and classical state , 1999, Theor. Comput. Sci..

[12]  James P. Crutchfield,et al.  Quantum automata and quantum grammars , 2000, Theor. Comput. Sci..

[13]  D. Abrams,et al.  Simulation of Many-Body Fermi Systems on a Universal Quantum Computer , 1997, quant-ph/9703054.

[14]  Jiangfeng Du,et al.  Experimental realization of a quantum support vector machine. , 2015, Physical review letters.

[15]  D. E. Savage,et al.  A programmable two-qubit quantum processor in silicon , 2017, Nature.

[16]  Mile Gu,et al.  Experimental quantum computing to solve systems of linear equations. , 2013, Physical review letters.

[17]  John Watrous,et al.  On the power of quantum finite state automata , 1997, Proceedings 38th Annual Symposium on Foundations of Computer Science.

[18]  Jay M. Gambetta,et al.  Building logical qubits in a superconducting quantum computing system , 2015, 1510.04375.

[19]  M. Head‐Gordon,et al.  Simulated Quantum Computation of Molecular Energies , 2005, Science.

[20]  Jeffrey D. Ullman,et al.  Introduction to Automata Theory, Languages and Computation , 1979 .

[21]  Pedram Khalili Amiri,et al.  Quantum computers , 2003 .

[22]  R. Feynman Simulating physics with computers , 1999 .

[23]  Andris Ambainis,et al.  Superiority of exact quantum automata for promise problems , 2011, Inf. Process. Lett..

[24]  Andris Ambainis Superlinear Advantage for Exact Quantum Algorithms , 2016, SIAM J. Comput..

[25]  Shenggen Zheng,et al.  Potential of Quantum Finite Automata with Exact Acceptance , 2014, Int. J. Found. Comput. Sci..

[26]  I. Chuang,et al.  Experimental realization of Shor's quantum factoring algorithm using nuclear magnetic resonance , 2001, Nature.

[27]  Graham D. Marshall,et al.  Large-scale silicon quantum photonics implementing arbitrary two-qubit processing , 2018, Nature Photonics.