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January 22, 2025
Global Quantum Budgets Set to Surge by Nearly 20% as Confidence Grows Globally
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QuEra Predictions for 2025
One of the first steps in realizing neutral-atom quantum computers is the trapping of atoms into an ordered array of laser tweezers. This process is usually done with spatial light modulators and acousto-optic deflectors, which are active beam shaping devices. In this work, a Columbia-based team demonstrates the utilization of a passive holographic metasurface capable of generating highly uniform and high-density arrays of tweezer traps. Milimiter to centimeter scale metasurface devices can obtain millions of pixels, while reducing the complexity of optics and control electronics of a system. This work helps pave the path for ultra-large-scale neutral atom arrays.
Most of the expected killer applications of quantum computing in the realm of quantum simulation involve degrees of freedom known as fermions. These include electrons in materials and quarks in high-energy systems. The mapping between regular qubits and fermions is, however, inefficient which presents a potential challenge. This challenge can be overcome if qubits themselves behave like such fermionic particles, but, so far, it was unclear whether doing quantum computing at scale is possible in such situation. This work, however, overcomes that issue by demonstrating how to perform error correction with fermionic qubits, while also proving clear improvement bounds on the performance of natively fermionic algorithms. As several neutral-atom species are fermionic, this work motivates the consideration of future neutral-atom fermionic computers.
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Due to coherent atomic shuttling, the exploration space for optimal compilation of algorithms in neutral-atom quantum computers remains a rich playground. In this work, UCLA-based team by Jason Cong continue upgrading their compilation stack, now introducing processes to minimize data movement between zones (advantageous for increased speed and fidelities), flexibilization of zone architecture, and better scheduling strategies. The advantage of zones over monolithic processing systems continues to prove itself, with the compiler predicting fidelities improving by factors above 20 in benchmarking tests.
QuEra’s Aquila, the largest and only neutral-atom quantum processor available on a public cloud, continues to prove its value for applications. In this work, a team led by George Siopsis demonstrate how to measure the dynamic structure factor of a magnetic system using Aquila. These measurements are immediately relevant for comparing quantum simulation analyses with neutron-scattering experiments, ubiquitous when studying quantum magnetism. The results obtained from Aquila achieve the resolution of the key peak features expected in neutron scattering as benchmarked by a study on a chain of up to 25 qubits.
