Interesting Engineering

World’s first underground nuclear borehole drilling starts for US firm’s Gravity reactor

Deep Fission’s "Gravity" reactor uses water columns to create the 160 atmospheres of pressure needed for power.

Bitcoin’s quantum upgrade path: What BIP-360 changes and what it does not

Bitcoin’s BIP-360 introduces P2MR to reduce quantum risk. Here is what changes, what trade-offs come with it and what it does not fix.
Scientific Research Publishing

Why Oracle-Based Quantum Search Cannot Use Deep Loops: Physical Limits on Sequential Operations ()

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...
Scientific Research Publishing

The Grover Dilemma and Three Fundamental Barriers to Oracle-Based Quantum Search Algorithms ()

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...
IEEE

3-D Gravity and Magnetic Inversion With a Modified Generalized Depth Weighting

Depth weighting plays an essential role in 3-D potential-field inversion to counteract the decay of the kernel function of gravity or magnetic potential fields, making the recovered results more ...
IEEE

Verification of Novel SAR Measurement System Utilizing Multi-Probe Planar Approach Inversion Algorithm

Abstract: The certification of wireless devices necessitates rapid and precise Specific Absorption Rate (SAR) assessment, a critical yet challenging requirement in modern electromagnetic compatibility ...
Frontiers

Prediction of thin sand body reservoirs using facies-model-constrained stochastic optimization inversion

Globally, subtle hydrocarbon reservoirs in petroliferous basins have always been challenging targets for exploration research, with thin sand body reservoir prediction being a key focus in this field.
GitHub

Codebase for paper Improving Diffusion-based Inverse Algorithms under Few-Step Constraint via Learnable Linear Extrapolation.

You can set up the environment using the environment.yml (the requirement is the same as [DDRM]: https://github.com/bahjat-kawar/ddrm). Run conda env create -f ...