5 papers
Mitigating errors in state preparation and measurement with noncomputational states
Conrad J. Haupt, Almudena Carrera Vazquez, Laurin E. Fischer +2
Error mitigation has enabled quantum computing applications with over one hundred qubits and deep circuits. Many error mitigation methods are noise-aware, relying on a faithful cha…
Heterogeneous Mapping for Analog In-Memory Computing Accelerators: A Unified Workflow
Corey Lammie
Analog In-Memory Computing (AIMC) accelerators execute matrix-vector multiplications directly within memory arrays, reducing data movement and improving DNN inference efficiency. T…
Gradient Scalability and Taylor Surrogation of Quantum Cost Landscapes
Sabri Meyer, Francesco Scala, Francesco Tacchino +1
Variational Quantum Algorithms are promising candidates for near-term quantum computing, yet they face scalability challenges due to barren plateaus, where gradients vanish exponen…
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Zehao Fan, Garrett Gagnon, Zhenyu Liu +1
Transformer-based models are the foundation of modern machine learning, but their execution, particularly during autoregressive decoding in large language models (LLMs), places sig…
Spectral Gaps with Quantum Counting Queries and Oblivious State Preparation
Almudena Carrera Vazquez, Aleksandros Sobczyk
Approximating the -th spectral gap and the corresponding midpoint of an Hermitian matrix with eigenvalues $λ_1…