10 papers
A Machine-Verified Proof of a Quantum-Optimization Conjecture
Uri Kol, Maor Ben-Shahar, Kfir Sulimany +1
We report a machine-verified resolution of a problem open for over a decade in quantum optimization: the Farhi, Goldstone and Gutmann (FGG) conjecture that depth- Quantum Approx…
Reduced State Embedding for Error Correction in Quantum Cryptography
Amit Kam, Kfir Sulimany, Shai Tsesses +1
Encoding in a high-dimensional Hilbert space improves noise resilience in quantum information processing. This approach, however, may result in cross-mode coupling and detection co…
Machine Intelligence on Wireless Edge Networks
Sri Krishna Vadlamani, Kfir Sulimany, Zhihui Gao +2
Machine intelligence on edge devices enables low-latency processing and improved privacy, but is often limited by the energy and delay of moving and converting data. Current system…
Decoy state and purification protocols for superior quantum key distribution with imperfect quantum-dot based single photon sources: Theory and Experiment
Yuval Bloom, Yoad Ordan, Tamar Levin +4
The original proposal of quantum key distribution (QKD) was based on ideal single photon sources, which 40 years later, are still challenging to develop. Therefore, the development…
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency
Zhihui Gao, Sri Krishna Vadlamani, Kfir Sulimany +2
Modern edge devices, such as cameras, drones, and Internet-of-Things nodes, rely on deep learning to enable a wide range of intelligent applications, including object recognition,…
QAMNet: Fast and Efficient Optical QAM Neural Networks
Marc Gong Bacvanski, Sri Krishna Vadlamani, Kfir Sulimany +1
The energy consumption of neural network inference has become a topic of paramount importance with the growing success and adoption of deep neural networks. Analog optical neural n…