Low Overhead Circuit Cutting with Operator Backpropagation
A method combining circuit cutting with operator backpropagation to reduce the number of quantum circuit executions.
IBM QUANTUM
Explore the latest quantum computing research, breakthroughs and innovations from IBM Quantum — from superconducting processors and error correction to quantum algorithms, software and the systems shaping a more capable tomorrow.
FEATURED RESEARCH
A method combining circuit cutting with operator backpropagation to reduce the number of quantum circuit executions.
IBM researchers explore quantum reservoir computing as a framework for learning and forecasting the dynamics of complex nonlinear systems.
A resource-efficient approach to quantum state preparation designed to reduce the computational cost of preparing useful quantum states for variational algorithms.
This research examines quantum memory as a framework for understanding the requirements and challenges involved in building fault-tolerant quantum computers.
A compressed-sensing framework for forecasting quantum observables, with theoretical guarantees describing the performance of the resulting predictions.
Research into learning the stabilizer structure underlying quantum states, providing methods for extracting useful structure from quantum-state descriptions.