#error correction

[kneadingmaths]

How do you reliably convey information when your pathway has noise in it (be it electrical... or acoustic)? Error-correcting codes provide an answer. (Sidenote: this illustrates a linear error-correcting code in particular.)

[mobiletrendstoday]

IBM Taps AMD Processors to Power Quantum Error Correction

IBM Uses AMD Chips to Run Quantum Computing Error Correction

New York, October 25, 2025 – IBM has announced a major step forward in quantum computing by demonstrating that conventional chips from Advanced Micro Devices (AMD) can successfully run a quantum error correction algorithm, a critical milestone in making quantum computing more accessible and commercially viable.

This development positions IBM as a strong competitor in the rapidly evolving quantum computing landscape, where Microsoft and Alphabet’s Google are also vying for breakthroughs. Earlier this week, Google revealed a new quantum algorithm that promises to improve computation accuracy and efficiency — intensifying the race among tech giants to achieve quantum supremacy.

IBM’s innovative approach relies on leveraging existing AMD hardware, rather than requiring specialized quantum chips, to simulate and execute the complex error correction protocols that are vital for reliable quantum operations. The ability to perform such algorithms on conventional processors could significantly reduce the cost and complexity of developing early-stage quantum systems.

“This milestone demonstrates that high-performance classical chips can help accelerate our path toward practical quantum computing,” said an IBM spokesperson. “It highlights the potential for hybrid quantum-classical computing solutions that combine existing technology with emerging quantum hardware.”

Quantum error correction remains one of the most challenging aspects of developing scalable quantum computers. By integrating AMD processors into their research, IBM is aiming to create a bridge between traditional computing and next-generation quantum systems.

The announcement underscores IBM’s commitment to innovation in both software and hardware, complementing its broader strategy that includes the IBM Quantum System One and partnerships across academia and industry.

As competition intensifies, the collaboration between established chipmakers and quantum research leaders may prove essential in bringing the next era of computing closer to reality.

[religion-is-a-mental-illness]

“One of the reasons for [science’s] success is that science has a built-in, error-correcting machinery at its very heart… When we are self-indulgent and uncritical, when we confuse hopes and facts, we slide into pseudoscience and superstition.” -- Carl Sagan

[frank-olivier]

Quantum Simulation: A Frontier in Scientific Research

Quantum simulation, a burgeoning field in modern physics, leverages the unique properties of quantum systems to replicate and investigate the behavior of other complex quantum systems. This approach offers a powerful tool to study intricate quantum phenomena that are otherwise challenging to analyze using classical computational methods or experimental setups. By harnessing the principles of quantum mechanics, quantum simulation enables researchers to explore parameter spaces inaccessible to classical simulations and gain unique insights into the underlying physics.

One of the primary platforms for quantum simulation is ultracold atomic gases, cooled to temperatures close to absolute zero. The low temperatures and high phase-space density of these systems allow for the study of individual atoms and molecules in a highly controlled environment, with minimal interactions with the surrounding environment. Optical lattices, created by interfering laser beams, provide a versatile and highly controllable platform for quantum simulations. By adjusting the laser parameters, researchers can engineer various types of lattice structures, enabling the study of phenomena such as Anderson localization, quantum phase transitions, and many-body dynamics. The periodic potential created by the optical lattice can mimic the crystal lattice of solid-state systems, allowing for the investigation of condensed matter physics in a clean and controllable environment.

Superconducting qubits, trapped ions, and nitrogen-vacancy centers in diamonds are alternative platforms for quantum simulation, each with its unique strengths and capabilities. Superconducting qubits use superconducting circuits to encode quantum information and exhibit long coherence times. Trapped ions allow for precise control and readout of their quantum states using electromagnetic fields. Nitrogen-vacancy centers in diamonds offer long-lived spins and coupling to other spins, making them useful for quantum information processing and sensing applications.

A significant challenge in quantum simulation is minimizing and correcting errors, which can arise from imperfections in the experimental setup or external disturbances. These errors can lead to decoherence, causing the quantum system to lose its coherence and become difficult to control. Researchers have developed robust quantum simulation methods and error correction codes to mitigate these errors and extend the capabilities of quantum simulations. Techniques such as quantum error correction, dynamical error suppression, and fault-tolerant quantum computing aim to overcome these challenges and enable longer and more accurate quantum simulations.

Quantum simulation has enabled the discovery of new phases, such as topological insulators and supersolids, and the study of strongly correlated systems, like high-temperature superconductors. By mimicking condensed matter systems in the laboratory, researchers can observe and understand their behavior in detail, leading to a deeper understanding of quantum phenomena and the development of new materials and technologies. Quantum simulations have the potential to revolutionize fields such as condensed matter physics, materials science, and chemistry. By simulating molecular Hamiltonians, quantum simulations can provide insights into chemical reactions, electronic structures, and excited states, with implications for drug discovery and materials design. Furthermore, quantum simulations can accelerate materials discovery by predicting the properties of new materials and optimizing existing ones for specific applications.

Esteban Adrian Martinez: Introduction to Quantum Simulators (Summer School on Collective Behaviour in Quantum Matter, September 2018)

Tuesday, November 5, 2024

[starrysurrealism]

Oh man. I meant to put these in my drafts. I have fixed the problem of not having a poem attached, but yeah. These were both from the same day btw.  Alisa

[nofatclips]

3Blue1Brown on Hamming codes, or: h■w to ov■rco■e n■ise [in software here] [in hardware here]

[fuckyeahfoodfantasy]

whoops whiskey is actually magic rip