Quantum Algorithm for Linear Matrix Equations
Google Quantum AI researchers developed a quantum algorithm for solving important classes of linear matrix equations using block-encoding.
GOOGLE QUANTUM AI
Latest Research by Google
Explore the latest quantum computing research, breakthroughs and innovations from Google Quantum AI — from Willow and quantum error correction to the technologies shaping a more capable tomorrow.
SUPERCONDUCTING QUBITSQUANTUM ERROR
CORRECTIONWILLOWQUANTUM ALGORITHMSSCALABILITY
FEATURED RESEARCH
Google Research Highlights
Consumable Data via Quantum Communication
A research paper asks whether useful data can be sent as a quantum state, used for a computation, and then become genuinely harder to reuse.
Towards a Quantum Computer That Learns from Its Errors
Google Quantum AI researchers combine reinforcement learning with quantum error correction to help quantum computers adapt to control drift and remain stable during computation.
Dynamic Surface Codes Open New Avenues for Quantum Error Correction
Google Quantum AI demonstrates dynamic surface-code circuits that provide greater flexibility in connectivity, gate choice and error suppression for quantum error correction.
Quantum State Preparation with Optimal T-Count
Researchers establish the optimal asymptotic number of T gates required to approximate arbitrary quantum states and diagonal unitaries to a given precision.
Consumable Data via Quantum Communication
Quantum communication can enable information to be transmitted in ways that fundamentally change how data is generated, shared and consumed across quantum networks.