Results 61 to 70 of about 7,819 (154)
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Appearance and Stability of Anomalously Fluctuating States in Shor's Factoring Algorithm
We analyze quantum computers which perform Shor's factoring algorithm, paying attention to asymptotic properties as the number L of qubits is increased.
A. Ekert +24 more
core +1 more source
Abstract The Curie Point Depth (CPD) is a key thermal boundary in the deep lithosphere and is widely used to constrain its thermal structure. However, uncertainties in magnetization and the non‐uniqueness of inversion lead to considerable inter‐study differences.
Chuanjie Chen +3 more
wiley +1 more source
In 1994, Shor introduced his famous quantum algorithm to factor integers and compute discrete logarithms in polynomial time. In 2023, Regev proposed a multidimensional version of Shor’s algorithm that requires far fewer quantum gates.
Cédric Pilatte
doaj +1 more source
Quantum Hidden Subgroup Algorithms: The Devil Is in the Details
We conjecture that one of the main obstacles to creating new non-abelian quantum hidden subgroup algorithms is the correct choice of a transversal.Comment: 5 pages, to appear in April 2004 Proceedings of SPIE on Quantum Information and ...
Kauffman, Louis H. +1 more
core +1 more source
Exploring Imprecise Probabilities in Quantum Algorithms with Possibility Theory
ABSTRACT Quantum computing utilizes the underlying principles of quantum mechanics to perform computations with unmatched performance capabilities. Rather than using classical bits, it operates on qubits, which can exist in superposition and entangled states. This enables the solution of problems that are considered intractable for classical computers.
Jan Schneider +2 more
wiley +1 more source
Scalability of Shor's algorithm with a limited set of rotation gates
Typical circuit implementations of Shor's algorithm involve controlled rotation gates of magnitude $\pi/2^{2L}$ where $L$ is the binary length of the integer N to be factored.
A. M. Steane +4 more
core +1 more source
Photonic Unitary Circuits for Quantum Information Processing
Unitary transformations are the cornerstone of quantum computing, enabling reversible manipulation of quantum states. This review evaluates photonic waveguide architectures as an evolving solution for quantum computing, exploiting the unique properties of photons. It investigates current theoretical frameworks, material platforms, and design strategies.
Kevin Zelaya +6 more
wiley +1 more source
Experimental realisation of Shor's quantum factoring algorithm using qubit recycling
Quantum computational algorithms exploit quantum mechanics to solve problems exponentially faster than the best classical algorithms. Shor's quantum algorithm for fast number factoring is a key example and the prime motivator in the international effort ...
A Aspuru-Guzik +30 more
core +1 more source
Declines in Conifer Forest Recovery and Forest Loss From Four Decades of Wildfire in California
Abstract California's forests are increasingly being exposed to intense wildfires. Past research has tracked wildfires' impact on these natural lands, yet there remains a critical gap in tracking post‐fire vegetation recovery and its trends, particularly for the extent of different forest types.
Ved N. Bhoot +3 more
wiley +1 more source

