Squeezing More Out of Quantum Codes: A Faster Path to Error Correction

New decoders for surface codes dramatically reduce the communication overhead required for reliable quantum computation.

New decoders for surface codes dramatically reduce the communication overhead required for reliable quantum computation.

New research explores the practical challenges of sending more data with fewer qubits using maximally entangled states.

Researchers have uncovered a surprising vulnerability in cloud-based quantum computers that allows users to bypass billing systems by exploiting mid-circuit reset operations.

Researchers have extended a versatile runtime system to seamlessly integrate classical and quantum processing, paving the way for more complex hybrid workflows.
Researchers are applying the tools of symplectic geometry to redefine and analyze quantum error-correcting codes, uncovering connections to classical coding theory.

Researchers have developed an improved decoding algorithm for 3D color codes, pushing the boundaries of fault-tolerant quantum computation.
Researchers are exploring a radical departure from traditional cryptographic methods, building security on the principles of higher-arity operations and non-derived algebraic structures.

A new quantum machine learning approach dramatically improves the detection of credit card fraud, particularly in challenging, real-world scenarios.

A new analysis reveals the delicate balance between leveraging molecular symmetry for efficient quantum simulations and maintaining the flexibility needed for accurate ground-state energy calculations.
Researchers are exploring how machine learning can enhance the security and efficiency of quantum key distribution systems.