Launched in November 2022, QuEra's Aquila is still the only publicly-accessible neutral-atom quantum computer.
It is based on programmable arrays of neutral Rubidium atoms, trapped in vacuum by tightly focused laser beams.
Map complex problems into the flexible programmable geometry of 256 neutral atoms.
Operating in the analog quantum processing mode, Aquila performs continuous temporal control over its qubits. This solves one of the key issues for today’s gate-based computers: the compounding of gate errors. Entanglement is generated and manipulated via direct design of Aquila’s natural atomic Hamiltonian.
With customer-defined qubit layout and connectivity, Aquila enables unique strategies for algorithm development. Aquila is ready for the easy deployment of applications in quantum simulation, optimization, and machine learning.
A comprehensive guide to neutral atom computing
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Aquila’s analog mode operation covers a wide family of Hamiltonians within the following format:
General parameter ranges can be seen on the table to the right. Additional information and in-depth explanations can be found in our white paper.
User-controllable parameters
Analog quantum programming is a powerful avenue for developing applications that can efficiently harness the power of large quantum systems. To maximize the benefits of this operational mode, we recommend:
With its 256 qubits and expansive field of view, Aquila offers a broad canvas for problem decomposition into replicas of compact clusters or extended chains, particularly for one-dimensional problems. Consider utilizing this capability to parallelize your computations, thereby improving the overall throughput.
The flexibility to reconfigure qubit positions and manage their interconnections opens up a wide array of problem-solving possibilities that can be mapped onto Aquila's native Hamiltonian. Harness the power of this Field Programmable Qubit Array (FPQA™) feature to build diverse lattices, encode gauge constraints, and explore optimization via a multitude of graph mapping strategies.
Analog computing mode provides smooth evolution of the time-dependent Hamiltonian. It's important to remember that various protocols, like quantum evolution via Trotterization, can gain advantages by sidestepping the errors that often accompany compounded gates.
The Rydberg blockade plays a pivotal role in numerous applications for Aquila, encompassing specific ordered phases and the computation of Maximum Independent Sets. While these applications are shaped by strong interactions, it's crucial to recognize the significance of the tails of longer-distance interactions. These tails facilitate longer-range frustration, stabilize spin liquids, and offer other possibilities.
Avoid relying exclusively on classical simulation for benchmarking. Aquila's capacity for quantum dynamical evolution extends beyond the limits of classical possibilities.
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