AC/DC: Automated Compilation for Dynamic Circuits
quant-ph
Submitted: 2024-12-10
Updated: 2026-09-16
Code: https://github.com/Gopal-Dahale/ILearnQuantum
Project page: https://aqt.lbl.gov
Terminology
Sources
- Learning dynamic quantum circuits for efficient state preparation
- Measurement-Based Long-Range Entangling Gates in Constant Depth
- Assessing requirements to scale to practical quantum advantage
- State preparation by shallow circuits using feed forward
- Dynamic parameterized quantum circuits: expressive and barren-plateau free
- Experimental demonstration of the advantage of adaptive quantum circuits
- Distributed Architecture for FPGA-based Superconducting Qubit Control
- A Practical Introduction to Benchmarking and Characterization of Quantum Computers
- Efficient Generation of Multi-partite Entanglement between Non-local Superconducting Qubits using Classical Feedback
- Quantum computing with Qiskit
- Quantum Hardware Roofline: Evaluating the Impact of Gate Expressivity on Quantum Processor Design
- Efficient quantum gate decomposition via adaptive circuit compression
- Compilation for Dynamically Field-Programmable Qubit Arrays with Efficient and Provably Near-Optimal Scheduling
- Combining quantum processors with real-time classical communication
- The inverse eigenvalue problem for quantum channels
- QGo: Scalable Quantum Circuit Optimization Using Automated Synthesis
- Characterizing MPS and PEPS Preparable via Measurement and Feedback
Related papers
- Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
- Encrypted clones can leak: Classification of informative subsets in Quantum Encrypted Cloning
- Polynomial-time classical and quantum simulation of quantum impurity models
- Theory of quantum-enhanced interferometry with general Markovian light sources
- A convergent hierarchy of spectral gap certificates for qubit Hamiltonians
- Universal Bound and Phase Transition in Many-Body Fermionic Non-Gaussianity