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Abstract: The central challenge of quantum computing is implementing high-fidelity quantum gates at scale. However, many existing approaches to qubit control suffer from a scale-performance trade-off, impeding progress towards the creation of useful devices. Here, we present a vision for an electronically controlled trapped-ion quantum computer that alleviates this bottleneck. Our architecture utilizes shared current-carrying traces and local tuning electrodes in a microfabricated chip to perform quantum gates with low noise and crosstalk regardless of device size. To verify our approach, we experimentally demonstrate low-noise site-selective single- and two-qubit gates in a seven-zone ion trap that can control up to 10 qubits. We implement electronic single-qubit gates with 99.99916(7)% fidelity, and demonstrate consistent performance with low crosstalk across the device. We also electronically generate two-qubit maximally entangled states with 99.97(1)% fidelity and long-term stable performance over continuous system operation. These state-of-the-art results validate the path to directly scaling these techniques to large-scale quantum computers based on electronically controlled trapped-ion qubits.

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My bio: David Allcock is Director of Science, North America at Oxford Ionics where he leads the US-based teams with a focus on our Quantum Science & Engineering initiatives. Allcock received a PhD in Atomic & Laser Physics from the University of Oxford, where he worked alongside Oxford Ionics’ co-founders, Dr Chris Ballance and Dr Tom Harty, on the technology that underpins the company’s quantum computers. Allcock has also spent several years at the forefront of quantum computing research at the National Institute of Technology and Standards (NIST) Boulder, widely known as the birthplace of trapped-ion quantum computing, and most recently as an Assistant Professor at the University of Oregon.

Company bio: Oxford Ionics was co-founded in 2019 by Dr Tom Harty and Dr Chris Ballance who both hold world records in quantum breakthroughs. The team includes global experts across physics, quantum architecture, engineering and software, and expects to grow to over 200 employees in the next 18 months. Oxford Ionics has raised £37 million to date, and recently demonstrated the highest performing quantum chip. In February 2024, Oxford Ionics won the contract to produce Quartet, a full-stack quantum computer for the UK’s National Quantum Computing Centre.

Press release: https://www.oxionics.com/announcements/oxford-ionics-breaks-global-quantum-performance-records

PR for our new Boulder office: https://www.oxionics.com/announcements/oxford-ionics-kicks-off-international-expansion-with-new-us-office

https://mines.zoom.us/j/99865146484?pwd=OQah3Sbb1abNSkSjtZw72DXzbGd5by.1 passcode (if necessary) 108375

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Quantum annealing is a means of optimization based on attenuation of quantum fluctuations, analogous to the attenuation of thermal fluctuations in simulated annealing. In this talk I will review the underlying history and motivation behind quantum annealing, the development of D-Wave quantum annealing processors, and recent results showing quantum speedups in optimization and simulation tasks over classical approaches.

Andrew King is a Senior Distinguished Scientist at D-Wave Systems, which he joined in 2013. He completed his Ph.D. in computer science at McGill University and was a postdoctoral researcher at Columbia University and Simon Fraser University. With a background in graph theory and discrete algorithms, he is an expert on quantum annealing, benchmarking, and simulation of quantum condensed matter. His most recent work concerns programmable quantum dynamics and their relevance to optimization and simulation tasks.

Papers:  http://arxiv.org/abs/2403.00910, http://arxiv.org/abs/2207.13800

https://mines.zoom.us/j/99865146484?pwd=OQah3Sbb1abNSkSjtZw72DXzbGd5by.1 passcode (if necessary) 108375

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https://mines.zoom.us/j/99865146484?pwd=OQah3Sbb1abNSkSjtZw72DXzbGd5by.1 passcode (if necessary) 108375

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Zoom: https://tinyurl.com/msun8t2p

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