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Pramod Bhatotia

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Preprint Oct 2026

CVM-Store: A Secure Storage System for Confidential Virtual Machines

Stateful cloud workloads require high-performance persistent storage when running on untrusted cloud infrastructure. Confidential Virtual Machines (CVMs) promise to protect these workloads through hardware-enforced memory encryption and isolation without requiring application changes. However, they protect only data in...

Thore Sommer, Masanori Misono, Dimitrios Stavrakakis et al. · 0 citations
Preprint Oct 2026

Should Your Database Systems Use Hardware-Assisted Memory Safety Extensions in Production?

Database systems are predominantly developed in unsafe languages (e.g., C/C++) to meet performance requirements through low-level memory management, yet this reliance renders them prone to systemic memory-safety issues that compromise reliability, consistency, security, and durability. Through an extensive bug analysis...

Ilya Meignan-Masson, Martin Fink, Masanori Misono et al. · 0 citations
Preprint Aug 2026

RushHour: A Dynamically Reconfigurable Lattice-Surgery Architecture

Practical fault-tolerant quantum computing (FTQC) requires efficient lattice surgery (LS), so that large algorithms fit on resource-constrained quantum chips. Existing approaches, however, are rigid: qubits, routing space, and resource states are allocated ahead of execution, which prevents running on small chips, leav...

Nathaniel Tornow, Aleksandra Świerkowska, P. Wegmann et al. · 0 citations

qTPU: Hybrid Tensor Networks for Quantum-Classical Acceleration

The hybrid tensor network (hTN) abstraction is introduced—a unified representation capturing quantum-classical computation—realized in qTPU, an end-to-end sys-tem comprising: the qTPU programming model for declarative hybrid computation specification; the qTPU compiler for holistic hTN optimization balancing classical...

Nathaniel Tornow, Emmanouil Giortamis, Dennis Sprokholt et al. · 1 citation
Preprint Aug 2026

Oraqle: An Empirical Analysis of Qubit Readout and Discriminators in Quantum Error Correction

Oraqle is introduced, an end-to-end benchmarking framework that evaluates qubit-state readout and its impact on QEC performance across real experimentally extracted qubit-state-readout datasets, state-of-the-art ML discriminators, multiple QEC codes, and hardware regimes spanning current to projected devices.

Emmanouil Giortamis, Aleksandra Świerkowska, Sandra Stanković et al. · 1 citation
Preprint Aug 2026

Zero-G: A Pre-Decoder-Aware Decoder for Quantum Error Correction

Zero-G is presented, a strong decoder designed for use alongside pre-decoders that achieves a $10\times$ latency improvement over existing strong decoders at matching accuracy, with worst-case sub-350ns decoding at code distances up to d=15, while scaling to 640 logical qubits on a single 128-core CPU and 32 logical qu...

P. Wegmann, Theofilos Augoustis, Aleksandra Świerkowska et al. · 1 citation

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