Zobrazeno 1 - 10
of 799
pro vyhledávání: '"A. P. Thapliyal"'
We report an anomalous temperature-induced transition in thermal conductivity in germanene monolayer around a critical temperature $T_c = 350 \, \text{K}$. Equilibrium molecular dynamics simulations reveal a transition from $\kappa \sim T^{-2}$ scali
Externí odkaz:
http://arxiv.org/abs/2411.14197
Autor:
Gaur, Bhaskar, Thapliyal, Himanshu
As quantum computers scale, the rise of multi-user and cloud-based quantum platforms can lead to new security challenges. Attacks within shared execution environments become increasingly feasible due to the crosstalk noise that, in combination with q
Externí odkaz:
http://arxiv.org/abs/2410.23217
Possibilities of observing single mode and intermodal quantum correlations (e.g., antibunching, steering and entanglement) are studied for a probed-hyper-Raman system with specific attention on the impact of a probe on the single and multi-mode quant
Externí odkaz:
http://arxiv.org/abs/2410.04007
Publikováno v:
2023 IEEE International Conference on Quantum Computing and Engineering (QCE), 2023, pp. 739-744
We propose Greedy Topology-Aware Quantum Circuit Partitioning (GTQCP), a novel quantum gate circuit partitioning method which partitions circuits by applying a greedy heuristic to the qubit dependency graph of the circuit. GTQCP is compared against t
Externí odkaz:
http://arxiv.org/abs/2410.02901
Autor:
Clark, Joseph, Thapliyal, Himanshu
Publikováno v:
2024 25th International Symposium on Quality Electronic Design (ISQED), 2024, pp. 1-8
Peephole optimization of quantum circuits provides a method of leveraging standard circuit synthesis approaches into scalable quantum circuit optimization. One application of this technique partitions an entire circuit into a series of peepholes and
Externí odkaz:
http://arxiv.org/abs/2409.06020
Cyber-physical control systems are critical infrastructures designed around highly responsive feedback loops that are measured and manipulated by hundreds of sensors and controllers. Anomalous data, such as from cyber-attacks, greatly risk the safety
Externí odkaz:
http://arxiv.org/abs/2409.04935
Autor:
Anderson, Eric, Fritz, Jonathan, Lee, Austin, Li, Bohou, Lindblad, Mark, Lindeman, Henry, Meyer, Alex, Parmar, Parth, Ranade, Tanvi, Shah, Mehul A., Sowell, Benjamin, Tecuci, Dan, Thapliyal, Vinayak, Welsh, Matt
LLMs demonstrate an uncanny ability to process unstructured data, and as such, have the potential to go beyond search and run complex, semantic analyses at scale. We describe the design of an unstructured analytics system, Aryn, and the tenets and us
Externí odkaz:
http://arxiv.org/abs/2409.00847
Autor:
Bhowmik, Sounak, Thapliyal, Himanshu
Anomaly detection is a crucial task in cyber security. Technological advancement brings new cyber-physical threats like network intrusion, financial fraud, identity theft, and property invasion. In the rapidly changing world, with frequently emerging
Externí odkaz:
http://arxiv.org/abs/2409.00294
Autor:
Bhowmik, Sounak, Thapliyal, Himanshu
The rapid increase in the volume of data increased the size and complexity of the deep learning models. These models are now more resource-intensive and time-consuming for training than ever. This paper presents a quantum transfer learning (QTL) base
Externí odkaz:
http://arxiv.org/abs/2409.00228
Quantum Computing is making significant advancements toward creating machines capable of implementing quantum algorithms in various fields, such as quantum cryptography, quantum image processing, and optimization. The development of quantum arithmeti
Externí odkaz:
http://arxiv.org/abs/2408.01002