Tootfinder

Information dynamics, natural computing and Maxwell's demon in two skyrmions system
Yoshishige Suzuki, Hiroki Mori, Soma Miki, Kota Emoto, Ryo Ishikawa, Eiiti Tamura, Hikaru Nomura, Minori Goto
https://arxiv.org/abs/2506.12881

Information dynamics, natural computing and Maxwell's demon in two skyrmions system
The probabilistic information flow and natural computational capability of a system with two magnetic skyrmions at room temperature have been experimentally evaluated. Based on this evaluation, an all-solid-state built-in Maxwell's demon operating at room temperature is also proposed. Probabilistic behavior has gained attention for its potential to enable unconventional computing paradigms. However, information propagation and computation in such systems are more complex than in conventional co…

Can a Quantum Computer Simulate Nuclear Magnetic Resonance Spectra Better than a Classical One?
Keith R. Fratus, Nicklas Enenkel, Sebastian Zanker, Jan-Michael Reiner, Michael Marthaler, Peter Schmitteckert
https://arxiv.org/abs/2508.06448

Can a Quantum Computer Simulate Nuclear Magnetic Resonance Spectra Better than a Classical One?
The simulation of the spectra measured in nuclear magnetic resonance (NMR) spectroscopy experiments is a computationally non-trivial problem, and as such, it represents a problem for which a quantum computer may provide some practical advantage over traditional computing methods. In order to understand the extent to which such problems may provide examples of useful quantum advantage, it is important to understand the limitations of existing classical simulation methods. In this work, we benchm…

Reconfiguration of a Magnetic Tunnel Junction as a Way to Turn It into a Field-Free Vortex Oscillator
Maksim Stebliy, Alex Jenkins, Luana Benetti, Ricardo Ferreira
https://arxiv.org/abs/2508.10739

Reconfiguration of a Magnetic Tunnel Junction as a Way to Turn It into a Field-Free Vortex Oscillator
Magnetic tunnel junctions (MTJs) are key elements in practical spintronics, enabling not only conventional tasks such as data storage, transmission, and processing but also the implementation of compute-in-memory processing elements, facilitating the development of efficient hardware for neuromorphic computing. The functionality of an MTJ is determined by the properties of its free layer (FL) and reference layer (RL) with fixed magnetization, separated by an MgO tunnel barrier. This paper prese…

Imaging Nonlinear Spin Waves in Magnetoacoustic Devices
N. Beaver, B. Luo, S-W. Chiu, D. A. Bas, P. J. Shah, A. Franson, M. S. Wolf, M. R. Page, M. J. Newburger, L. Caretta, N. X. Sun, P. Stevenson
https://arxiv.org/abs/2507.10724

Imaging Nonlinear Spin Waves in Magnetoacoustic Devices
Magnetoacoustic systems offer promising platforms for next-generation sensors and computing applications, but understanding their nonlinear dynamics remains challenging. Here, we use nitrogen vacancy (NV) centers in diamond to spatially map nonlinear magnon scattering processes in FeGaB/LiNbO3 magnetoacoustic devices with sub-micron resolution. We observe highly heterogeneous magnetic noise generation under acoustic driving at 1425 MHz, with responses varying dramatically across micron length s…

Magnetic field-free braiding and nontrivial fusion of Majorana bound states in high-temperature planar Josephson junctions
Pankaj Sharma, Narayan Mohanta
https://arxiv.org/abs/2506.04338

Magnetic field-free braiding and nontrivial fusion of Majorana bound states in high-temperature planar Josephson junctions
Demonstration of non-Abelian statistics of zero-energy Majorana bound states (MBS) is crucial for long-sought-after decoherence-free topological quantum computing. The ability to move the MBS on a two-dimensional platform such as a planar Josephson junction is practically constrained by a fixed direction of applied magnetic field. In addition, the detrimental effects of the magnetic field on proximity-induced superconductivity in semiconductor-superconductor heterostructures is an outstanding p…

Realizing the Petz Recovery Map on an NMR Quantum Processor
Gayatri Singh, Ram Sagar Sahani, Vinayak Jagadish, Lea Lautenbacher, Nadja K. Bernardes, Kavita Dorai
https://arxiv.org/abs/2508.08998

Realizing the Petz Recovery Map on an NMR Quantum Processor
The Petz recovery map is a fundamental protocol in quantum information theory, enabling the retrieval of quantum information lost due to noisy processes. Here, we experimentally implement the Petz recovery map on a nuclear magnetic resonance (NMR) quantum processor using the duality quantum computing (DQC) algorithm. Focusing on two paradigmatic single-qubit channels, namely phase damping and amplitude damping, we demonstrate that the recovered states closely match theoretical predictions. Our …

This https://arxiv.org/abs/2409.09268 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Spintronic Neuron Using a Magnetic Tunnel Junction for Low-Power Neuromorphic Computing
This paper proposes a novel spiking artificial neuron design based on a combined spin valve/magnetic tunnel junction (SV/MTJ). Traditional hardware used in artificial intelligence and machine learning faces significant challenges related to high power consumption and scalability. To address these challenges, spintronic neurons, which can mimic biologically inspired neural behaviors, offer a promising solution. We present a model of an SV/MTJ-based neuron which uses technologies that have been s…

SQUID G.A.M.E.: Gamma, Atmospheric, and Mono-Energetic Neutron Effects on Quantum Devices
Gioele Casagranda, Elizabeth Auden, Carlo Cazzaniga, Maria Kastriotou, Christopher Frost, Marzio Vallero, Flavio Vella, Paolo Rech
https://arxiv.org/abs/2508.06362

SQUID G.A.M.E.: Gamma, Atmospheric, and Mono-Energetic Neutron Effects on Quantum Devices
Quantum devices are a promising solution to many research applications, including medical imaging, precision magnetic field measurements, condensed matter physics, and overcoming the limits of classical computing. Among the available implementations, the superconducting technology is the current focus of scientific research and industrial applications, excelling in performance and scalability. Despite this, superconducting quantum systems are extremely prone to decoherence, and in particular, t…

Radiation GRMHD Models of Accretion onto Stellar-Mass Black Holes: I. Survey of Eddington Ratios
Lizhong Zhang, James M. Stone, Patrick D. Mullen, Shane W. Davis, Yan-Fei Jiang, Christopher J. White
https://arxiv.org/abs/2506.02289

Radiation GRMHD Models of Accretion onto Stellar-Mass Black Holes: I. Survey of Eddington Ratios
We summarize results from a survey of radiation-dominated black hole accretion flows across a wide range of mass accretion rates, as well as two values of black hole spin and initial magnetic field geometry. These models apply an algorithm targeting direct solutions to the radiation transport equation in full general relativity and have been enabled by access to modern exascale computing systems. Super-Eddington accretion flows form geometrically thick radiation pressure supported disks that dr…

This https://arxiv.org/abs/2209.09443 has been replaced.
link: https://scholar.google.com/scholar?q=a

Cryogenic in-memory computing using magnetic topological insulators
Machine learning algorithms have been proven effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementation of these algorithms at cryogenic temperatures is essential. Here, we utilize magnetic topological insulators as memristors (termed magnetic topological memristors) and introduce a cryogenic in-memory computing scheme based on the coexistence of the chiral edge state and the topological surface state. The memristive…

Influence of the external electromagnetic field on the properties of the Novikov-Thorne accretion disk in Kerr spacetime
Shiyang Hu, Yuxiang Zuo, Dan Li, Chen Deng
https://arxiv.org/abs/2507.14599

Influence of the external electromagnetic field on the properties of the Novikov-Thorne accretion disk in Kerr spacetime
The Novikov-Thorne accretion disk model is widely employed in astrophysics, yet computing its blackbody spectrum theoretically requires analytical expressions for the orbital parameters -- specific energy, angular momentum, and angular velocity -- of the constituent timelike particles, a task extremely challenging in non-integrable curved spacetimes. In this work, we numerically obtain these orbital parameters for quasi-Keplerian motion in Kerr spacetime with an asymptotically uniform magnetic …

The robustness of composite pulses elucidated by classical mechanics: Stability around the globe
Jonathan Berkheim, David J. Tannor
https://arxiv.org/abs/2507.01364

The robustness of composite pulses elucidated by classical mechanics: Stability around the globe
Composite Pulses (CPs) are widely used in Nuclear Magnetic Resonance (NMR), optical spectroscopy, optimal control experiments and quantum computing to manipulate systems that are well-described by a two-level Hamiltonian. A careful design of these pulses can allow the refocusing of an ensemble at a desired state, even if the ensemble experiences imperfections in the magnitude of the external field or resonance offsets. Since the introduction of CPs, several theoretical justifications for their …

This https://arxiv.org/abs/2505.19636 has been replaced.
initial toot: https://mastoxiv.page/@a…

Longitudinal magnetoconductivity in chiral multifold semimetals exemplified by pseudospin-1 nodal points
We embark on computing the longitudinal magnetoconductivity within the semiclassical Boltzmann formalism, where an isotropic triple-point semimetal (TSM) is subjected to collinear electric ($\boldsymbol E $) and magnetic ($\boldsymbol B$) fields. Except for the Drude part, the $B$-dependence arises exclusively from topological properties like the Berry curvature and the orbital magnetic moment. We solve the Boltzmann equations exactly in the linear-response regime, applicable in the limit of we…

This https://arxiv.org/abs/2411.10437 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Nitrogen vacancy center in diamond-based Faraday magnetometer
The nitrogen vacancy (NV) center in diamond is a versatile color center used for magnetometry, quantum computing, and quantum communications. In this article, using a single laser beam as a pump and probe, we measure the spin states of the NV center using the Faraday effect and use such measurements to develop a novel magnetic field sensor. Using the spin-state-dependent effect on the left and right circularly polarized light, we probe and confirm the existence of spin-orbit coupling in the NV …

Density of States (Gate) - Controlled Andreev Molecule and Sensor
Xiaofan Shi, Ziwei Dou, Guoan Li, Dong Pan, Yuxiao Song, Anqi Wang, Zhiyuan Zhang, Xingchen Guo, Xiao Deng, Ruixuan Zhang, Liangqian Xu, Xiao Chen, Yupeng Li, Bingbing Tong, Xiaohui Song, Zhaozheng Lyu, Peiling Li, Fanming Qu, Guangtong Liu, Jianhua Zhao, Li Lu, Jie Shen
https://

Density of States (Gate) - Controlled Andreev Molecule and Sensor
Topological quantum computing typically relies on topological Andreev bound states (ABSs) engineered in hybrid superconductor-semiconductor devices, where gate control offers key advantages. While strong Zeeman fields can induce such states, an alternative approach emerges through Andreev molecules -- closely spaced, coupled ABSs, also key building-block for Kitaev chain -- that enable topological behavior without high magnetic fields. However, existing Andreev molecules are controlled via magn…

Reconfigurable three dimensional magnetic nanoarchitectures
Sabri Koraltan, Fabrizio Porrati, Robert Kraft, Sven Barth, Markus Weigand, Claas Abert, Dieter Suess, Michael Huth, Sebastian Wintz
https://arxiv.org/abs/2506.14383

Reconfigurable three dimensional magnetic nanoarchitectures
Three-dimensional (3D) nanomagnetism is a rapidly developing field within magnetic materials research, where exploiting the third dimension unlocks opportunities for innovative applications in areas such as sensing, data storage, and neuromorphic computing. Among various fabrication techniques, focused electron beam-induced deposition (FEBID) offers high flexibility in creating complex 3D nanostructures with sub-100 nm resolution. A key challenge in the development of 3D nanomagnets is the abil…