Toshiba Researchers Develop Quantum Random Number Generator Chip

Quantum random number generator combines small size and high speed Chip-based device paves the way for scalable and secure random number generation, an essential building block for future digital infrastructure Researchers from Toshiba’s Cambridge Research Laboratory have developed a chip-based quantum random number generator that provides high-speed, high-quality operation on a miniaturized platform. This advance could help move quantum random number generators closer to being built directly into everyday devices, where they could strengthen security without sacrificing speed. https://lnkd.in/eZnHrJHX.

Quantum computing is not only coming but it is here! It will drive the scale and opportunity that AI is creating. Read on to understand the potentials and opportunities! #Leadership As companies around the world build quantum computers, Europe's unsung heroes are building the infrastructure that makes it all possible.

  [15] What makes a quantum computer a quantum computer? One widely accepted answer is the DiVincenzo criteria. Let's go through them one by one and understand how QUDORA implements them successfully:   1. A scalable physical system consisting of well-characterised qubits: QUDORA uses the electronic structure of ions, more specifically, two distinguished hyperfine levels as qubit states. As ions are always equal by nature, they form a perfect qubit. 2. Reliable preparation of a fiducial state: QUDORA gets the ions ready by first cooling them down and then using light to put them into their lowest energy state. Afterwards, microwaves bring the ions' electrons into the two energy levels that represent the qubit states |0> and |1>. 3. Long coherence times: QUDORA selects pairs of hyperfine levels whose difference is robust to small perturbations in the magnetic field. By this, superpositions of these states remain stable for a very long time. 4. A set of native gates in which every gate can be decomposed into: QUDORA implements single-qubit gates via Rabi oscillations and two-qubit gates via the Mølmer-Sørensen protocol, utilising our chip-integrated NFQC technology. Together, these gates can be combined to create any operation needed for quantum computing. 5. A qubit-specific measurement capability: QUDORA uses state-dependent fluorescence detection to distinguish between |1> and |0> states.    And how does a real QUDORA quantum chip look like? Stay tuned for our next and final post of this series, where we directly show you one of our quantum chips. But for now, see picture 7!   #trappedions #quantumcomputing #QudoraTechnologies #NFQC  

Breakthroughs You Should Know Continuing my Quantum series from yesterday , here are some recent breakthroughs that are pushing the field from theory into reality: 🔹 Magic State Distillation in Logical Qubits For the first time, scientists have demonstrated magic state distillation inside logical qubits , a milestone many consider essential for fault-tolerant quantum computing. This technique purifies and refines “magic states,” special quantum states required for complex operations. Without it, quantum computers remain limited. 🔹 Quantum Communication on Real Fiber Researchers successfully distributed entangled photons across live metropolitan fiber networks , alongside classical data traffic, proving that quantum communication can ride today’s infrastructure. 🔹 IonQ’s Frequency Conversion Breakthrough IonQ demonstrated the conversion of photons from visible wavelengths (used in trapped-ion systems) to telecom wavelengths. Why it matters: telecom bands travel much farther with lower loss, enabling scalable quantum networking over existing global fiber optics. 🔹 82 km Quantum Entanglement A team also achieved high fidelity entanglement over ~82 km of urban fiber. This shows quantum signals can “piggyback” on the same networks we already use for classical communication , a huge step toward a practical quantum internet. These breakthroughs are early signals that quantum is moving to engineering, the question now is when and who will lead it.

So many obstacles stand between us and a fully realized quantum computing future, from stabilizing qubits to scaling hardware to transmitting fragile quantum states across distance. Every advancement that clears one of these hurdles is monumental. That’s why the work from Penn Engineering caught my attention. Researchers there have demonstrated that quantum signals can be transmitted using standard Internet Protocol (IP) over live commercial fiber. Their new Q-Chip design bundles classical + quantum data, letting a classical “header” manage routing and noise correction, while preserving the quantum information. The team tested this on ~1 km of Verizon fiber and achieved 97% fidelity, not just in a lab, but in real-world conditions. Why this matters: • Shows that tomorrow’s quantum networks can ride on today’s internet infrastructure. • Unlocks a scalable, silicon-based path toward a practical quantum internet. • Brings us closer to quantum-secure communications and interconnected quantum computers. A big step forward, and a glimpse at the framework that will one day support the quantum era. https://lnkd.in/epxHBqGR #QuantumComputing #QuantumInternet #Networking #Innovation

𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗶𝗻𝗴 𝗼𝘂𝗿 𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝗱𝗲𝗲𝗽 𝗱𝗶𝘃𝗲 - 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗳𝗶𝗱𝗲𝗹𝗶𝘁𝘆: [11] In quantum computing, fidelity is a measure of how close the actual outcome of an operation is to the ideal one. If a gate is meant to bring a qubit into a perfect superposition, but small imperfections in control fields make the final state slightly off, fidelity quantifies this discrepancy. A fidelity of 100% would mean the real and ideal operations are identical.     𝗪𝗵𝘆 𝗱𝗼𝗲𝘀 𝗳𝗶𝗱𝗲𝗹𝗶𝘁𝘆 𝗺𝗮𝘁𝘁𝗲𝗿? Fidelity tells us how accurately a quantum computer can perform a calculation without making mistakes. If the fidelity is low, errors quickly pile up and ruin the result.    High fidelity is essential because every error introduced by a gate accumulates as algorithms get longer. In QUDORA’s trapped-ion systems, magnetic fields emerging from a chip-integrated microwave antenna enable very high gate fidelities.   A key advantage of our approach is the use of microwave radiation instead of laser radiation to perform quantum gates. Since microwaves operate at much lower frequencies than lasers, they can be controlled with far greater precision and, at the same time, avoid laser-specific error sources. This results in high gate fidelities, among the best achieved across all qubit platforms.    These microwave antennas form the cornerstone of QUDORA’s NFQC (near-field quantum control) technology, which equips our quantum computers with very high performance. In the next post, we’ll explore how NFQC works and why it represents a decisive step forward.    #trappedions #quantumcomputing #QudoraTechnologies #NFQC

Quantum Annealing Noise Modeling Connects Embedding Chain Length to Reliability in Scalable Systems Researchers demonstrate a direct relationship between the length of qubit chains used to map complex problems onto quantum hardware and the resulting errors, providing a crucial scaling rule for optimising performance and improving the reliability of near-term quantum computers. #quantum #quantumcomputing #technology https://lnkd.in/eCujuRQe

For years, most quantum computers could only run for milliseconds, and even advanced machines that could run longer would operate for just around 13 seconds. But the Harvard team was able to run their system for more than two hours last month — and several of the researchers said the machine could, in theory, run indefinitely. https://lnkd.in/dxAfCQZC

#qecarxiv 📌 Today’s highlights: Measurement-based fault-tolerant quantum computing scales efficiently on high-connectivity hardware, surface codes reach new benchmarks on heavy-hex superconducting processors, and concatenated symplectic double codes streamline logical quantum gates. 1️⃣ 🔬 Measurement-Based Fault-Tolerant Quantum Computation on High-Connectivity Devices: A Resource-Efficient Approach toward Early FTQC 🔗 https://lnkd.in/g_KgWv24 🧠 Proposes an architecture using verified logical ancillas and Knill-type error-correcting teleportation to eliminate repeated syndrome measurements and simplify decoding. Deploys Steane and Golay code implementations, enabling practical megaquop- and gigaquop-scale computations with orders-of-magnitude fewer qubits and gates than traditional surface-code schemes. 2️⃣ 🧲 Surface code scaling on heavy-hex superconducting quantum processors 🔗 https://lnkd.in/grBPEfxH 🧠 Demonstrates how optimized “fold-unfold” SWAP-based embedding and robust dynamical decoupling enable scalable surface code implementation on IBM heavy-hex devices. Achieves protection gains for logical X and Z states with increasing distance, establishing a path to robust subthreshold scaling and error suppression for next-generation quantum processors. 3️⃣ ✨ Simple logical quantum computation with concatenated symplectic double codes 🔗 https://lnkd.in/gsuTua7A 🧠 Shows how concatenated symplectic double codes permit functionally simple circuits for logical quantum gates, requiring only single-qubit physical gates and relabeling. Simulations at practical error rates highlight near-term viability as a computational code for future medium- and large-scale quantum computers.