QuEra Highlights Hedwig Kohn's Spectroscopy Contributions to Quantum Computing

Quantum information might not be as fragile as we thought. One of the persistent challenges in quantum computing is quantum scrambling, the process by which information encoded in qubits spreads across a system and becomes effectively lost. It is a fundamental obstacle to reliable quantum computation and data retrieval. New research published in Physical Review Letters by physicists at the University of California, Irvine, offers a compelling insight: scrambled quantum information may not actually be destroyed. Instead, it disperses in highly complex ways across many interacting particles, and under the right conditions, that process can be reversed. The key finding rests on a principle rooted in quantum mechanics. At the microscopic level, the laws governing particle interactions are time-reversible. The research team demonstrated that this reversibility extends to many quantum systems, including quantum computers. With extremely precise control, it may be possible to drive a system backward, allowing dispersed information to refocus near its origin. Why this matters for the industry: - Quantum error and information loss remain among the biggest barriers to practical quantum computing. - If scrambling can be systematically reversed, it could open new pathways for preserving qubit coherence and improving computational reliability. - The finding is described as a universal property, suggesting broad applicability across different quantum architectures. This is still early-stage research, and the level of fine-tuned control required is significant. However, it represents a meaningful step in understanding how quantum information behaves and how we might protect it. Foundational science like this is what moves quantum computing from promise toward practice. #QuantumComputing #QuantumPhysics #QuantumTechnology #Innovation

Progress in quantum science often comes down to reducing noise. New research involving Argonne National Laboratory scientist Xu Han focuses on making quantum systems “quieter” by minimizing environmental disturbances that disrupt fragile quantum states. Why it matters: Less noise means longer coherence times, bringing us closer to reliable quantum computing, sensing, and communication. Read more: https://lnkd.in/gcimPY2p #Quantum #Argonne

The new method could change how scientists test and fine-tune quantum processors. By gaining a clearer picture of the microscopic processes that limit performance, researchers can work toward more stable quantum systems.

World Quantum Day: The Invisible Science Powering Today and Defining Tomorrow World Quantum Day highlights the growing importance of quantum science as both a foundation of modern technology and a driver of future transformation. The annual event brings together a global network of scientists, educators, and innovators to increase public understanding of a field that is rapidly moving from theory to real world impact. The initiative is decentralized, with no single governing body, relying instead on collaboration across disciplines and regions. Researchers, technologists, and educators organize events ranging from lectures to demonstrations, all aimed at making quantum science more accessible. This bottom up approach reflects the broad and expanding relevance of quantum technologies across industries. At its core, quantum science already underpins many aspects of daily life. Technologies such as semiconductors, lasers, and advanced imaging systems are rooted in quantum principles. However, the next wave of innovation is expected to extend far beyond these foundations, with quantum computing, sensing, and communications poised to unlock capabilities that are currently unattainable with classical systems. The growing focus on awareness reflects a recognition that quantum technologies will have strategic implications. Governments, corporations, and academic institutions are investing heavily to secure leadership in areas such as encryption, materials science, and high performance computing. As these capabilities mature, they are expected to influence everything from national security to economic competitiveness. The implications are long term and transformative. Quantum science represents a foundational shift in how information is processed and understood, with the potential to redefine entire industries. Building public awareness and developing a skilled workforce will be critical to ensuring that societies can effectively harness and govern these emerging technologies in the years ahead. I share daily insights with tens of thousands followers across defense, tech, and policy. If this topic resonates, I invite you to connect and continue the conversation. Keith King https://lnkd.in/gHPvUttw

This #TechnicalTuesday, we explore the rise of qudits (yes, with a d not a b). For years, we mainly discussed about quantum computers as two-level systems. But physics was always richer than that. Now, with real experimental progress: 🔵 trapped ions controlling 13-level systems 🔵 superconducting qutrit processors 🔵 photonic high-dimensional encoding ⚠️ The question is changing. Qudits don’t change what is computable. However they might change how efficiently we get there. 👉 Full Substack Article: https://lnkd.in/evS8qtiQ #QuantumComputing #Qudits #Qubits #DeepTech #Innovation #Physics #TechStrategy #GhalbouniConsulting #TechnicalTuesday

We may have spent a decade simplifying quantum computing… a bit too much. Sharing this week’s #TechnicalTuesday from Ghalbouni Consulting. Qubits made the field easier to build, easier to control, easier to scale (at least conceptually). But they also forced a binary view on systems that are inherently multi-level. Now qudits are coming back—not because they are more powerful in theory, but because they may be more honest to the physics. And in a field where hardware constraints dominate, that honesty might matter more than elegance. Worth reflecting on. #Quantum #Physics #Innovation #Qudits #Qubits #DeepTech #Strategy #GhalbouniConsulting #TechnicalTuesday Elie Mounzer Oswaldo Zapata, PhD Brian Lenahan Niurka Quinteros, Sc.M. Orlagh Neary

DAY 3: Quantum Mechanics Bridging Quantum Theory with Hardware Reality "We will share the same path." That is the realization as I conclude Day 3 of my deep dive into Quantum Mechanics for Scientists and Engineers. Moving from abstract qubits to the "ground reality" of Semiconductor Heterostructures is where the real engineering begins. Today was all about the Envelope Function and Effective Mass ( m * ). As a Qiskit Advocate, I often work with Hamiltonians, but today I went "under the hood" to see how material physics dictates these parameters. My "Reality-Based" Insights for the Quantum Stack: Effective Mass & Tunneling: In a crystal lattice, an electron’s mass isn't a constant it’s a response to its environment. A "lighter" effective mass means faster tunneling and more spread-out wavefunctions, which is a critical design factor for qubit control. Type-I vs. Type-II Alignments: Type-I (The Merger): Electrons and holes are trapped in the same "Quantum Well." This is the backbone of efficient laser diodes and spin qubits where we need maximum interaction. Type-II (The Separation): Carriers move into different layers. While great for solar cells, it’s a challenge for photon emission. The Blue-Shift Logic: I explored how decreasing the width ( L ) of a quantum well increases the energy gap. This "Quantum Size Effect" results in a Blue-shift in emission a principle we use to tune Quantum Dots for specific frequencies. Why this matters for RAQT: In my work on the Robust Anonymous Quantum Transmission (RAQT) framework, we simulate quantum states across long-distance protocols. Understanding these hardware-level band offsets is crucial. If the material alignment isn't perfect, your "quasielectron" won't behave, and your entanglement will suffer. Whether I am mentoring a global cohort or researching from Sialkot, Pakistan, the goal remains the same: Intellectual honesty in every line of code. The journey from intuition to notation continues. #QuantumComputing #Qiskit #RAQT #Semiconductors #QuantumResearch #WomenInSTEM #ContinuousLearning #TechPakistan Qiskit IBM Quantum Quantum Internet Alliance (QIA) edX Stanford University Ahsan Iqbal Chaudhary National Quantum Computing Centre (NQCC) CETQAP - The Centre of Excellence for Technology Quantum and Artificial Intelligence Pakistan Text and Image: Credit Gemini

In the pursuit of powerful and stable quantum computers, researchers at Chalmers University of Technology, Sweden, have developed the theory for an entirely new quantum system. #Engineering #Computing #Research

In 1985, Dr John M Martinis and colleagues demonstrated macroscopic quantum tunneling in superconducting circuits, proving quantum effects could be observed at human scales. They were awarded the 2025 Nobel Prize in Physics for this discovery. Decades later, Martinis led the Google Quantum AI team to achieve quantum supremacy in 2019, showing a quantum processor outperforming classical computers on a specific task. In 2022, he co-founded Qolab, focused on translating lessons from large-scale experiments into practical quantum technologies. During the National Quantum Federated Foundry (NQFF) Industry Day, organised by Singapore’s National Quantum Office and the A*STAR - Agency for Science, Technology and Research, Martinis gave a detailed presentation on the development of quantum computing from 1985 to today. Below is a condensed transcript of the first half of the lecture — a history of quantum computing through his eyes. https://lnkd.in/gG7dHB_h

Precision measurement is the quiet foundation on which quantum computing is being built. Recent discussions in the quantum community have highlighted how pioneering work in spectroscopy and radiometry helped establish the precision measurement techniques that underpin modern atomic and optical physics. This connection matters more than it might seem at first glance. Neutral atom quantum computing, one of the most promising approaches in the field today, relies directly on the ability to manipulate and measure individual atoms with extraordinary accuracy. The lasers, traps, and detection methods used in these systems trace their lineage back to decades of careful work in foundational science. Quantum computing is not just an engineering challenge or a software problem. It is deeply rooted in fundamental physics and the discipline of making accurate measurements. Every qubit operation, error correction protocol, and gate fidelity benchmark depends on this precision. As the industry matures and moves toward practical applications, the research teams and companies that maintain a strong connection to rigorous experimental science will be best positioned to deliver reliable, scalable quantum systems. The future of quantum computing is being built on foundations laid over a century ago. That long arc of scientific progress is something worth appreciating. #QuantumComputing #QuantumPhysics #DeepTech #Innovation