Quantum Computing Systems- Official Website

Quantum computers are transforming the future of technology by performing calculations that traditional computers could never handle. But what exactly drives these powerful quantum machines?

In this comprehensive guide, we dive deep into the architecture of quantum computers explaining how they are designed, how qubits process information, and why quantum computing represents a complete shift from classical computing. Discover the science, technology, and innovation behind the world’s most advanced computational systems.

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Yingyue Zhu

Graduate student at the University of Maryland

We leveraged a previously unused system parameter to achieve high-fidelity, low-cost parallel operations, paving the way for future advances in frequency-separated quantum processing.

Or Katz

Lead paper author and former postdoctoral associate at Duke University

This technique broadens the entanglement framework by enabling control over interactions beyond the pairwise regime, paving the way for new types of entangling gates and complex many-body Hamiltonians.

Daiwei Zhu

Research assistant at the University of Maryland

This work outlines a framework for using mid-circuit measurements in cryptographic protocols to generate classically verifiable proof of quantumness.

Enchilada Architecture

Research at the Quantum Systems Accelerator (QSA) is accelerating progress toward building flexible, stable quantum computers that surpass today’s classical systems. Though quantum principles have been known for decades, turning them into practical machines demands extreme precision.

Among leading approaches, trapped-ion systems stand out for their stability and scalability. Using electric fields to confine ions and lasers to control their quantum states, these systems maintain long-lasting quantum coherence and enable strong qubit connectivity. Recent QSA breakthroughs have further advanced trapped-ion architectures, allowing them to support larger numbers of qubits and drive the next wave of quantum innovation.

Jonathan Sterk examines the ion trap region guiding qubits inside Sandia National Laboratories’ vacuum chamber. (Credit: Craig Fritz)

A QSA research team at Sandia National Laboratories, led by Jonathan Sterk, has designed, fabricated, and tested a new trap chip capable of storing up to 200 ions. Nicknamed the “enchilada trap,” this device introduces innovative features to reduce radiofrequency (RF) power dissipation and includes multiple operational zones linked through junctions. These advancements pave the way for future quantum traps that could store exponentially more qubits, as detailed in a recent arXiv study.

By elevating RF electrodes and removing underlying dielectric material, the design minimizes capacitance and power loss at operating voltages of 150--300 V. Together, these improvements enable larger, more efficient quantum traps and support the development of scalable trapped-ion quantum computers. The project is a collaboration with Duke University and Cornell University, where an enchilada trap is already in operation.

Jonathan Sterk--Principal member of technical staff and lead paper author

We are focused on building the technologies necessary for large-scale quantum systems. The QSA has been instrumental in our ability to collaborate with world-class scientists to push the boundaries of what is achievable.

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This diagram depicts an interactive quantum verification protocol, where a classical verifier tests the quantumness of a quantum prover through a cryptographic challenge. The verifier begins by sending a trapdoor-based function that is difficult to invert. The prover then prepares and partially measures a quantum state before receiving additional measurement instructions from the verifier. These exchanges enable the verifier to confirm the use of genuine quantum resources. The Learning With Errors (LWE) protocol involves two interaction rounds, while the Computational Bell Test variant adds a third round, shown in green. (Credit: Daiwei Zhu et al.)

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In this trapped-ion quantum processor, a 1D ion chain is segmented by adjusting trap voltages, allowing selective laser measurements on specific ions while preserving others. The segments are later recombined to resume computation. Demonstrated with 15 ions, the setup achieves separations up to 550 μm, as shown in fluorescence images. (Credit: Daiwei Zhu et al.)

Ongoing research to make quantum computers more efficient, scalable, reliable, and interactive is rapidly bringing us closer to a future where once-impossible problems become solvable. At the Quantum Systems Accelerator (QSA), scientists are driving some of the most significant breakthroughs in this emerging field. Each new engineering and technical advance pushes us nearer to a transformative new era of computing.

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