Results 51 to 60 of about 9,651 (149)

Quantum Computing: Foundations, Architecture and Applications

Engineering Reports, Volume 7, Issue 8, August 2025.
This paper presents a study on quantum computing's theoretical foundations and applications, illustrated by a quantum circuit diagram featuring gates and measurements that demonstrate qubit manipulation and entanglement. ABSTRACT Quantum computing exploits the principles of quantum mechanics to address computational problems that are intractable to ...
Christopher Columbus Chinnappan, Palani Thanaraj Krishnan, Elakiya Elamaran, Rajakumar Arul, T. Sunil Kumar   +4 more
wiley   +1 more source

A Novel Algorithm for Ice‐Water Discrimination in Large Lakes Using ICESat‐2 Altimetry and Data Driven Machine Learning

Earth and Space Science, Volume 12, Issue 6, June 2025.
Abstract Large freshwater lakes are critical for human life, ecosystem functioning, and the global carbon cycle. However, consistent high‐resolution methods to characterize ice over large lakes remain limited. Here we develop an algorithm to progress ice observations over inland bodies of water by improving surface classifications using data derived ...
Isabella Peter, Eric J. Anderson, Matthew R. Siegfried, Nathan T. Kurtz   +3 more
wiley   +1 more source

Geometric lower bounds for generalized ranks [PDF]

, 2014
We revisit a geometric lower bound for Waring rank of polynomials (symmetric rank of symmetric tensors) of Landsberg and Teitler and generalize it to a lower bound for rank with respect to arbitrary varieties, improving the bound given by the "non ...
Teitler, Zach
core  

Black Holes, Qubits and Octonions

, 2008
We review the recently established relationships between black hole entropy in string theory and the quantum entanglement of qubits and qutrits in quantum information theory.
Abascal, Acin, Acin, Adler, Albeverio, Alishahiha, Amico, Andrianopoli, Andrianopoli, Andrianopoli, Andrianopoli, Baez, Balasubramanian, Bardeen, Batle, Behrndt, Bekenstein, Bell, Bellucci, Bellucci, Bergshoeff, Bergshoeff, Bernevig, Bertolini, Bertolini, Bertolini, Bhargava, Bohm, Borsten, Borsten, Brody, Brown, Brustein, Carteret, Carteret, Cayley, Coffman, Conway, Cremmer, Cremmer, Cremmer, Cvetic, Cvetic, Cvetic, Cvetic, D. Dahanayake, Dabholkar, Dabholkar, Daboul, De Leo, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Duff, Dür, Einstein, Einstein, Emch, Emparan, Fan, Ferrara, Ferrara, Ferrara, Ferrara, Ferrara, Ferrara, Ferrara, Ferrara, Ferrara, Feynman, Font, Freudenthal, Gaiotto, Gaiotto, Gauntlett, Ge, Gelfand, Gimon, Giveon, Grassl, Green, Green, Greenberger, Greenberger, Gregori, Gunaydin, Gunaydin, Gunaydin, Gunaydin, Gunaydin, Gunaydin, Gunaydin, Gunaydin, Günaydin, H. Ebrahim, Hawking, Hawking, Hirata, Hirschfeld, Horava, Hull, Hull, Hurwitz, Jacobson, Jacobson, Jacobson, Jaeger, Jordan, Jordan, Jordan, Kallosh, Kallosh, Kallosh, Kempe, Klebanov, Krutelevich, Krutelevich, Kugo, L. Borsten, Lamata, Lee, Levay, Levay, Levay, Levay, Levay, Li, Linden, Lopes Cardoso, Lu, Luhn, Luhn, Lévay, M.J. Duff, Maldacena, Manogue, Manogue, McCrimmon, Mermin, Mermin, Miyake, Miyake, Montonen, Mosseri, Mosseri, Nielsen, Nishino, Olver, Ooguri, Osterloh, Pan, Papadopoulos, Penrose, Pioline, Plenio, Polchinski, Polchinski, Rey, Riccioni, Ryu, Schafer, Schwarz, Schwarz, Sen, Sen, Sen, Sen, Sen, Sinha, Springer, Strathdee, Streater, Strominger, Strominger, Sudbery, Susskind, Tripathy, Tseytlin, Verstraete, Vidal, W. Rubens, Witten, Witten, Wootters   +196 more
core   +2 more sources

Determining Treatment Dosage for Hypothyroidism Using Machine Learning

Computational Intelligence, Volume 41, Issue 3, June 2025.
ABSTRACT Hypothyroidism is a prevalent chronic condition requiring precise levothyroxine dosing to prevent complications. However, factors such as stress and weight fluctuations complicate dosage determination. This study applies machine learning to improve dosage prediction accuracy.
Christina Zammit, Edward R. Sykes
wiley   +1 more source

Description of Quantum Entanglement with Nilpotent Polynomials

, 2005
We propose a general method for introducing extensive characteristics of quantum entanglement. The method relies on polynomials of nilpotent raising operators that create entangled states acting on a reference vacuum state.
Akulin, V. M., Mandilara, A., Smilga, A. V., Viola, L.   +3 more
core   +3 more sources

A separable two-dimensional random field model of binary response data from multi-day behavioral experiments.

Journal of Neuroscience Methods, 2018
BACKGROUND The study of learning in populations of subjects can provide insights into the changes that occur in the brain with aging, drug intervention, and psychiatric disease. NEW METHOD We introduce a separable two-dimensional (2D) random field (RF)
Noa Malem-Shinitski, Yingzhuo Zhang, Daniel T. Gray, S. Burke, Anne C. Smith, C. Barnes, Demba E. Ba   +6 more
semanticscholar   +1 more source

Complexity of short Presburger arithmetic

, 2017
We study complexity of short sentences in Presburger arithmetic (Short-PA). Here by "short" we mean sentences with a bounded number of variables, quantifiers, inequalities and Boolean operations; the input consists only of the integers involved in the ...
Barvinok A., Barvinok A., Chistikov D., Eisenbrand F., Fischer M. J., Miller E., Nguyen D., Presburger M.   +7 more
core   +1 more source

Integrability, breather, rogue wave, lump, lump-multi-stripe, and lump-multi-soliton solutions of a (3 + 1)-dimensional nonlinear evolution equation

The Physics of Fluids
In this article, we consider a new (3 + 1)-dimensional evolution equation, which can be used to interpret the propagation of nonlinear waves in the oceans and seas.
U. Mandal, Amiya Das, Wen-Xiu Ma
semanticscholar   +1 more source

Spin glass reflection of the decoding transition for quantum error correcting codes [PDF]

, 2014
We study the decoding transition for quantum error correcting codes with the help of a mapping to random-bond Wegner spin models. Families of quantum low density parity-check (LDPC) codes with a finite decoding threshold lead to both known models (e.g.,
Kovalev, Alexey A., Pryadko, Leonid P.
core   +3 more sources