Ash
@atlasrho.com
BSc | MSc | PhD - in the works | Engineer at a Space Company(unnamed) | It’s all 1s, 0s, and 1&0s; maybe some streams inside, outside and in between- probably.
The research was conducted at CCNY’s Harlem Center for Quantum Materials and received support from the National Science Foundation. The findings were published in the journal Nature Communications.
phys.org/news/2025-01...
phys.org/news/2025-01...
January 14, 2025 at 6:52 PM
The research was conducted at CCNY’s Harlem Center for Quantum Materials and received support from the National Science Foundation. The findings were published in the journal Nature Communications.
phys.org/news/2025-01...
phys.org/news/2025-01...
By using hydrogen or other light elements to adjust these materials, new platforms become available for exploring and utilizing topological phases with remarkable large-scale behaviors. This development opens the door to potentially transformative applications in future #quantum devices.
January 14, 2025 at 6:52 PM
By using hydrogen or other light elements to adjust these materials, new platforms become available for exploring and utilizing topological phases with remarkable large-scale behaviors. This development opens the door to potentially transformative applications in future #quantum devices.
This means the material’s electrical charges respond differently when an in-plane magnetic field is rotated in different directions, acting as a ‘chiral switch’ that can be tuned with low magnetic fields.
January 14, 2025 at 6:52 PM
This means the material’s electrical charges respond differently when an in-plane magnetic field is rotated in different directions, acting as a ‘chiral switch’ that can be tuned with low magnetic fields.
One outcome of this technique is the generation of low-dissipation currents. They’re more efficient losing less energy as heat. The modified Weyl states exhibit a doubled Curie temperature—the point at which a material loses its permanent magnetic properties—and a strong angular transport chirality.
January 14, 2025 at 6:52 PM
One outcome of this technique is the generation of low-dissipation currents. They’re more efficient losing less energy as heat. The modified Weyl states exhibit a doubled Curie temperature—the point at which a material loses its permanent magnetic properties—and a strong angular transport chirality.
Such control could pave the way for new quantum devices that utilize these unique properties for advanced chiral spintronics—technology that exploits electron spin and its associated magnetic moment—and potentially for robust quantum computing systems.
January 14, 2025 at 6:52 PM
Such control could pave the way for new quantum devices that utilize these unique properties for advanced chiral spintronics—technology that exploits electron spin and its associated magnetic moment—and potentially for robust quantum computing systems.
By introducing hydrogen ions (H+) into the magnetic material MnSb₂Te₄, the researchers found they could adjust and enhance the chirality of electronic transport. This process involves reshaping energy features within the material, known as Weyl nodes, allowing for on-demand tuning.
January 14, 2025 at 6:52 PM
By introducing hydrogen ions (H+) into the magnetic material MnSb₂Te₄, the researchers found they could adjust and enhance the chirality of electronic transport. This process involves reshaping energy features within the material, known as Weyl nodes, allowing for on-demand tuning.
They developed a method to manipulate the electronic properties of a magnetic Weyl semimetal—a type of material where electrons behave like massless particles, Weyl fermions. These fermions have a unique characteristic called chirality, where spin & momentum are linked in a specific “handedness.”
January 14, 2025 at 6:52 PM
They developed a method to manipulate the electronic properties of a magnetic Weyl semimetal—a type of material where electrons behave like massless particles, Weyl fermions. These fermions have a unique characteristic called chirality, where spin & momentum are linked in a specific “handedness.”
This #research demonstrates that deep learning, particularly CNNs, can effectively learn and predict the complexity of #quantum states across various conditions, providing a novel approach to studying quantum complexity.
arxiv.org/html/2501.02...
arxiv.org/html/2501.02...
1 Introduction
arxiv.org
January 8, 2025 at 12:01 AM
This #research demonstrates that deep learning, particularly CNNs, can effectively learn and predict the complexity of #quantum states across various conditions, providing a novel approach to studying quantum complexity.
arxiv.org/html/2501.02...
arxiv.org/html/2501.02...
• Time Variable Irrelevance: The study suggests that the specific time at which a quantum state is analyzed becomes less relevant, especially at late times, reinforcing that Krylov spread complexity captures essential features of the quantum state.
January 8, 2025 at 12:01 AM
• Time Variable Irrelevance: The study suggests that the specific time at which a quantum state is analyzed becomes less relevant, especially at late times, reinforcing that Krylov spread complexity captures essential features of the quantum state.
• Temperature Sensitivity: The algorithm effectively distinguishes features of TFD states at different temperatures, indicating its sensitivity to temperature-dependent characteristics of quantum states.
January 8, 2025 at 12:01 AM
• Temperature Sensitivity: The algorithm effectively distinguishes features of TFD states at different temperatures, indicating its sensitivity to temperature-dependent characteristics of quantum states.
• Basis Dependence: The performance of the deep learning algorithm varies significantly with the choice of basis. It performs well in the energy eigenbasis and the Krylov basis but poorly in the original basis of the random Hamiltonian.
January 8, 2025 at 12:01 AM
• Basis Dependence: The performance of the deep learning algorithm varies significantly with the choice of basis. It performs well in the energy eigenbasis and the Krylov basis but poorly in the original basis of the random Hamiltonian.
Key findings include:
• Effective Learning Across Timescales: The CNN successfully learns the complexity of quantum states not only at early times, where structures are more apparent, but also at late times, where states appear nearly random.
• Effective Learning Across Timescales: The CNN successfully learns the complexity of quantum states not only at early times, where structures are more apparent, but also at late times, where states appear nearly random.
January 8, 2025 at 12:01 AM
Key findings include:
• Effective Learning Across Timescales: The CNN successfully learns the complexity of quantum states not only at early times, where structures are more apparent, but also at late times, where states appear nearly random.
• Effective Learning Across Timescales: The CNN successfully learns the complexity of quantum states not only at early times, where structures are more apparent, but also at late times, where states appear nearly random.
These are special quantum states related to black holes in theoretical physics.
They employ a convolutional neural network (CNN) to learn and predict the Krylov spread complexity of these quantum states over time.
They employ a convolutional neural network (CNN) to learn and predict the Krylov spread complexity of these quantum states over time.
January 8, 2025 at 12:01 AM
These are special quantum states related to black holes in theoretical physics.
They employ a convolutional neural network (CNN) to learn and predict the Krylov spread complexity of these quantum states over time.
They employ a convolutional neural network (CNN) to learn and predict the Krylov spread complexity of these quantum states over time.
Krylov spread complexity measures how a quantum state evolves and spreads within a subspace during its time evolution.
They use random Hamiltonians from the Gaussian unitary ensemble and start with thermofield double (TFD) states.
They use random Hamiltonians from the Gaussian unitary ensemble and start with thermofield double (TFD) states.
January 8, 2025 at 12:01 AM
Krylov spread complexity measures how a quantum state evolves and spreads within a subspace during its time evolution.
They use random Hamiltonians from the Gaussian unitary ensemble and start with thermofield double (TFD) states.
They use random Hamiltonians from the Gaussian unitary ensemble and start with thermofield double (TFD) states.
In essence, the UK’s development of its first quantum clock signifies a monumental leap in timekeeping, with the potential to transform various sectors and enhance national security.
phys.org/news/2025-01...
phys.org/news/2025-01...
January 3, 2025 at 1:53 AM
In essence, the UK’s development of its first quantum clock signifies a monumental leap in timekeeping, with the potential to transform various sectors and enhance national security.
phys.org/news/2025-01...
phys.org/news/2025-01...
The global race in quantum technology is heating up, with significant investments from countries like the US and China. The UK’s foray into quantum clocks not only positions it at the forefront of this technological frontier but also opens new avenues in research fields such as quantum science.
January 3, 2025 at 1:53 AM
The global race in quantum technology is heating up, with significant investments from countries like the US and China. The UK’s foray into quantum clocks not only positions it at the forefront of this technological frontier but also opens new avenues in research fields such as quantum science.
The Defense Science and Technology Laboratory aims to deploy this technology within the next five years, with future research focusing on miniaturization for use in military vehicles and aircraft.
January 3, 2025 at 1:53 AM
The Defense Science and Technology Laboratory aims to deploy this technology within the next five years, with future research focusing on miniaturization for use in military vehicles and aircraft.
The implications of such precision are vast. For the military, it means enhanced intelligence and reconnaissance capabilities, reducing reliance on GPS technology that adversaries could disrupt. It could revolutionize industries, bolster the science sector, and support high-skilled jobs.
January 3, 2025 at 1:53 AM
The implications of such precision are vast. For the military, it means enhanced intelligence and reconnaissance capabilities, reducing reliance on GPS technology that adversaries could disrupt. It could revolutionize industries, bolster the science sector, and support high-skilled jobs.
Unlike traditional clocks, which might drift by seconds over centuries, this quantum marvel uses the principles of quantum mechanics to measure energy fluctuations within atoms, achieving unprecedented accuracy.
January 3, 2025 at 1:53 AM
Unlike traditional clocks, which might drift by seconds over centuries, this quantum marvel uses the principles of quantum mechanics to measure energy fluctuations within atoms, achieving unprecedented accuracy.
This research represents a significant step toward practical thermotronic systems that manage heat at the #quantum level, potentially transforming energy efficiency and heat management in future technologies.
phys.org/news/2024-12...
phys.org/news/2024-12...
Advancing unidirectional heat flow: The next era of quantum thermal diodes
Heat management at the nanoscale has long been a cornerstone of advanced technological applications, ranging from high-performance electronics to quantum computing. Addressing this critical challenge,...
phys.org
December 31, 2024 at 1:44 AM
This research represents a significant step toward practical thermotronic systems that manage heat at the #quantum level, potentially transforming energy efficiency and heat management in future technologies.
phys.org/news/2024-12...
phys.org/news/2024-12...
This advancement could lead to improved cooling methods for electronics, better energy harvesting from waste heat, and more effective thermal management in various applications.
December 31, 2024 at 1:44 AM
This advancement could lead to improved cooling methods for electronics, better energy harvesting from waste heat, and more effective thermal management in various applications.