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Abstract
Measurement-based quantum computation with optical time-domain multiplexing is a promising method to realize a quantum computer from the viewpoint of scalability. Fault tolerance and universality are also realizable by preparing appropriate resource quantum states and electro-optical feedforward that is altered based on measurement results. While linear feedforward has been realized and become a common experimental technique, nonlinear feedforward was unrealized until now. In this paper, we demonstrate that a fast and flexible nonlinear feedforward realizes the essential measurement required for fault-tolerant and universal quantum computation. Using non-Gaussian ancillary states, we observed 10% reduction of the measurement excess noise relative to classical vacuum ancilla.
The ability to perform nonlinear feedforward operations - that is, conditional operations controlled by nonlinear function of the measurement outcomes - is still a missing ingredient for measurement-based quantum computation. Here, the authors fill this gap using nonlinear electro-optical feedforward and non-Gaussian ancillary states.
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1 The University of Tokyo, Department of Applied Physics, School of Engineering, Bunkyo-ku, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X); RIKEN Center for Quantum Computing, Optical Quantum Computing Research Team, Wako, Japan (GRID:grid.513040.3)
2 The University of Tokyo, Department of Applied Physics, School of Engineering, Bunkyo-ku, Japan (GRID:grid.26999.3d) (ISNI:0000 0001 2151 536X)
3 Palacký University, Department of Optics, Olomouc, Czech Republic (GRID:grid.10979.36) (ISNI:0000 0001 1245 3953)
4 Australian National University, Centre for Quantum Computation and Communication Technology, School of Engineering, College of Engineering Computing and Cybernetics, Canberra, Australia (GRID:grid.1001.0) (ISNI:0000 0001 2180 7477)
5 University of New South Wales, Centre for Quantum Computation and Communication Technology, School of Engineering and Information Technology, Canberra, Australia (GRID:grid.1005.4) (ISNI:0000 0004 4902 0432)