Beyond Gate Counts: Modeling the true Cost of Quantum Error Correction
A new cost model, FLASQ, offers a more realistic assessment of resource requirements for early fault-tolerant quantum algorithms.
A new cost model, FLASQ, offers a more realistic assessment of resource requirements for early fault-tolerant quantum algorithms.

A novel technique leverages network capacity regions to pinpoint loss probabilities, even amidst noisy channel conditions.

A new protocol efficiently certifies complex quantum states using only a small number of single-qubit Pauli measurements.

Researchers quantify coherence in quantum algorithms, revealing its impact on performance with the Bernstein-Vazirani algorithm.
A new approach to protecting quantum information leverages the unique properties of squeezed vacuum states.

New techniques dramatically reduce the physical qubit overhead for fault-tolerant quantum computing with surface codes.

A new approach utilizes high-rate quantum LDPC codes to enable efficient, addressable gate-based computation.

A new full-stack framework promises to optimize quantum computations by tightly integrating hardware and software design.

A new approach to quantum error correction leverages ‘qudits’ – quantum units beyond simple 0 or 1 – to dramatically improve resource efficiency.

A new approach to quantum error correction promises to safeguard fragile quantum information from both thermal and environmental disturbances.