Bulletin of the American Physical Society
52nd Annual Meeting of the APS Division of Atomic, Molecular and Optical Physics
Volume 66, Number 6
Monday–Friday, May 31–June 4 2021; Virtual; Time Zone: Central Daylight Time, USA
Session H04: Quantum Computing with LightInvited Live
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Chair: Olivier Pfister, U. Virginia |
Wednesday, June 2, 2021 8:00AM - 8:30AM Live |
H04.00001: Programmable quantum gates in a continuous variable optical cluster state Invited Speaker: Ulrik L Andersen Continuous variable (CV) measurement-based quantum computation (MBQC) shows great potential for
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Wednesday, June 2, 2021 8:30AM - 9:00AM Live |
H04.00002: Resources for continuous-variable quantum computation: theory and experimental proposals Invited Speaker: Giulia Ferrini Continuous-Variable (CV) quantum computation is emerging as a promising alternative to quantum computation with two-level systems. In this approach, typical observables have a continuous spectrum, such as the real and imaginary part of the quantised electromagnetic field. In this context, specific resources, such as the cubic phase state and correspondingly the cubic phase gate, have been known for decades to be resourceful, i.e. to promote the set of classically efficiently simulatable operations to universal quantum computation. So far, efforts for implementing experimentally these resourceful elements have been undertaken in quantum optics, however it has not been possible yet to achieve them. I will present two proposals inspired by quantum optics for achieving the generation of the cubic phase state as well as the implementation of a cubic phase gate with microwave technology. Availability of these elements opens for the quest of CV-NISQs - small CV quantum processors without quantum error correction, where a limited number of operations - yet beyond the domain of the classical simulatable ones - are at disposal. |
Wednesday, June 2, 2021 9:00AM - 9:30AM Live |
H04.00003: Toward fault-tolerant large-scale universal optical quantum computing with continuous-variable quantum teleportation Invited Speaker: Akira Furusawa We are now pursuing the realization of large-scale universal optical quantum computers with our original continuous-variable quantum teleportation methodology. There are several points. One is that we can build a logical qubit for quantum error correction with a single pulse of light. It is totally different situation from other systems like super-conducting qubits, spins, and ions, which are two-level systems and thus they need many physical qubits and entanglement among them for building a logical qubit. We can replace the fragile multipartite entanglement with quantum correlation of photons in a single pulse of light. Another point of our methodology is that we do not have to be worried about decoherence of the system. We are using our original time-domain multiplexing methodology and make a measurement before the decoherence. We can make a quantum computing forever in principle. |
Wednesday, June 2, 2021 9:30AM - 10:00AM Live |
H04.00004: Photonic Quantum Computational Advantage Invited Speaker: Chao-Yang Lu The main challenge for scaling up photonic quantum technologies is the lack of perfect quantum light sources. We have pushed the parametric down-conversion to its physical limit and produce two-photon source with simultaneously a collection efficiency of 97% and an indistinguishability of 96% between independent photons. Using a single quantum dot in microcavities, we have produced on-demand single photons with high purity (>99%), near-unity indistinguishability, and high extraction efficiency—all combined in a single device compatibly and simultaneously. Based on the high-performance quantum light sources, we have implemented boson sampling—which is an intermediate model of quantum computing, a strong candidate for demonstrating quantum computational advantage and refuting Extended Church Turing Thesis—with up to 76 photon clicks after a 100-mode interferometer. The photonic quantum computer, Jiuzhang, yields an output state space dimension of 10^30 and a sampling rate that is 10^14 faster using the state-of-the-art simulation strategy on supercomputers. |
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