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On Variations in GB Grid Electricity CO2 Intensity: Samples - CO2 per grid kWh by h/d/m/y. - https://www.earth.org.uk/note-on-UK-grid-CO2-intensity-variations.html

On Variations in GB Grid Electricity CO2 Intensity: Samples
CO2 per grid kWh by h/d/m/y.

Spotify: 17.000 Künstler aus der EU verdienen mehr als 10.000 Euro
2024 strichen europäische Künstler auf Spotify 1,7 Milliarden Euro an Tantiemen ein. Für die meisten bleibt es aber schwierig, von den Ausschüttungen zu leben.

Optimization Strategies for Variational Quantum Algorithms in Noisy Landscapes
Vojt\v{e}ch Nov\'ak, Ivan Zelinka, V\'aclav Sn\'a\v{s}el
https://arxiv.org/abs/2506.01715

Optimization Strategies for Variational Quantum Algorithms in Noisy Landscapes
Variational Quantum Algorithms (VQAs) are a promising tool in the NISQ era, leveraging quantum computing across diverse fields. However, their performance is hindered by optimization challenges like local minima, barren plateaus, and noise from current quantum hardware. Variational Quantum Eigensolver (VQE), a key subset of VQAs, approximates molecular ground-state energies by minimizing a Hamiltonian, enabling quantum chemistry applications. Beyond this, VQE contributes to condensed matter phy…

Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification
Griffin Tabor, Tucker Hermans
https://arxiv.org/abs/2506.00589

Constrained Stein Variational Gradient Descent for Robot Perception, Planning, and Identification
Many core problems in robotics can be framed as constrained optimization problems. Often on these problems, the robotic system has uncertainty, or it would be advantageous to identify multiple high quality feasible solutions. To enable this, we present two novel frameworks for applying principles of constrained optimization to the new variational inference algorithm Stein variational gradient descent. Our general framework supports multiple types of constrained optimizers and can handle arbitra…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
mariin k.:
🎵 puddle
#mariink
https://seksound.bandcamp.com/track/puddle
https://open.spotify.com/track/4glcGj3vtZYPWO5llXNLpx

Benchmarking Quantum Heuristics: Non-Variational QWOA for Weighted Maxcut
Tavis Bennett, Aidan Smith, Edric Matwiejew, Jingbo Wang
https://arxiv.org/abs/2505.24191

Benchmarking Quantum Heuristics: Non-Variational QWOA for Weighted Maxcut
We present benchmarking results for the non-variational Quantum Walk Optimisation Algorithm (non-variational QWOA) applied to the weighted maxcut problem, using classical simulations for problem sizes up to $n = 31$. The amplified quantum state, prepared using a quadratic number of alternating unitaries, achieves a constant average-case measurement probability for globally optimal solutions across these problem sizes. This behaviour contrasts with that of classical heuristics, which, for NP-har…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Shonen Knife:
🎵 Twist Barbie
#ShonenKnife
https://consumevalve.bandcamp.com/track/twist-barbie-2
https://open.spotify.com/track/18SRzkowfxldrjtgaq5ziC

Variational-Adiabatic Quantum Solver for Systems of Linear Equations with Warm Starts
Claudio Sanavio, Fabio Mascherpa, Alessia Marruzzo, Alfonso Amendola, Sauro Succi
https://arxiv.org/abs/2505.24285

Variational-Adiabatic Quantum Solver for Systems of Linear Equations with Warm Starts
We propose a revisited variational quantum solver for linear systems, designed to circumvent the barren plateau phenomenon by combining two key techniques: adiabatic evolution and warm starts. To this end, we define an initial Hamiltonian with a known ground state which is easily implemented on the quantum circuit, and then "adiabatically" evolve the Hamiltonian by tuning a control variable in such a way that the final ground state matches the solution to the given linear system. This evolution…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Sleater‐Kinney:
🎵 Jumpers
#SleaterKinney
https://open.spotify.com/track/1YFUVWqrfXKJtRchH3kMAt

Entanglement Detection with Variational Quantum Interference: Theory and Experiment
Rui Zhang, Zhenhuan Liu, Chendi Yang, Yue-Yang Fei, Xu-Fei Yin, Yingqiu Mao, Li Li, Nai-Le Liu, Yu-Ao Chen, Jian-Wei Pan
https://arxiv.org/abs/2505.24764

Entanglement Detection with Variational Quantum Interference: Theory and Experiment
Entanglement detection serves as a fundamental task in quantum information science, playing a critical role in quantum benchmarking and foundational studies. As the number of controllable qubits continues to increase, there emerges a pressing demand for scalable and robust entanglement detection protocols that can maintain high detection capability while requiring minimal resources. By integrating the positive partial transposition criterion with variational quantum interference, we develop an …