- Simple broadband signal detection at the fundamental limit
- Innovation Capacity of Dynamical Learning Systems
- Practical Efficiency of Muon for Pretraining
- Rethinking Reflection in Pre-Training
- Restrictions on Physical Stochastic Reservoir Computers
- A Theory of Direct Randomized Benchmarking
- A Note on Noisy Reservoir Computation
- The QAOA with Few Measurements
- Opportunities and Limitations in Broadband Sensing
- Individual qubit addressing of rotating ion crystals in a Penning trap
- Towards Demonstrating Fault Tolerance in Small Circuits Using Bacon-Shor Codes
- Robustly decorrelating errors with mixed quantum gates
- Demonstration of a Parametrically-Activated Entangling Gate Protected from Flux Noise
- Quantum Kitchen Sinks: An algorithm for machine learning on near-term quantum computers
- Demonstration of Universal Parametric Entangling Gates on a Multi-Qubit Lattice
- Parametrically Activated Entangling Gates Using Transmon Qubits