Chronological feed of everything captured from Jay Gambetta.
The bicycle architecture uses high-rate, low-overhead bivariate bicycle quantum LDPC codes (distances 12 and 18) for modular quantum computing. It features explicit fault-tolerant logical instruction sets, adapted compilation for universal circuits, and end-to-end resource estimates showing an order of magnitude larger logical circuits executable with the same physical qubits compared to surface codes. Further gains are expected from code, circuit, and compilation advances.
IBM envisions quantum computing as an essential accelerator within a broader computing ecosystem, working alongside HPC and AI, rather than a standalone replacement. The company is developing a full-stack approach, leveraging its extensive semiconductor and HPC expertise to build quantum systems. The focus for 2023 is to reach a tipping point where quantum circuits outperform classical computers for specific tasks, moving towards practical business applications by 2025-2026.
The quantum computing field is transitioning from small-scale exploratory experiments to a 'utility era' characterized by 100+ qubit systems. This shift necessitates a departure from traditional fidelity metrics toward state-specific verification and the adoption of dynamic circuits to overcome linear depth scaling. Current research focuses on using error mitigation and hybrid classical-quantum verification to explore many-body physics and dynamics that are classically intractable.
IBM and Cisco are partnering to develop a network of large-scale, fault-tolerant quantum computers. This initiative aims to overcome the limitations of single quantum predecessors, laying the groundwork for a quantum internet. This collaboration leverages IBM's quantum hardware and software with Cisco's networking expertise.
IBM has implemented substantial upgrades to dynamic quantum circuits, significantly accelerating mid-circuit measurements and conditional operations. These advancements resulted in a 28% reduction in two-qubit gates per Trotter step and up to 24% improved performance in a 46-site kicked Ising simulation on 106 qubits, compared to unitary circuits. The improvements are attributed to capabilities like faster feedforward and enhanced timing control, demonstrating a notable step forward in quantum computation efficiency.
IBM's Director of Research, Jay Gambetta, outlines the company's deep and long-standing commitment to quantum computing, emphasizing its role as a supplementary, not replacement, technology to classical computing. He details IBM's pioneering advancements in the field, from early theoretical contributions to the development of modular, error-corrected quantum processors. The long-term vision includes achieving fault-tolerant quantum computing by 2029, enabling solutions for complex scientific and industrial problems.
IBM researchers have demonstrably advanced quantum entanglement, achieving a record-setting 140-qubit GHZ state on the new Heron R3 ibm_boston processor. This surpasses their previous 120-qubit record on Heron R2 ibm_aachen by demonstrating improved fidelity and shot-retention rates. This advancement signifies progress in scaling quantum systems while maintaining coherence.
IBM has successfully entangled 120 qubits, setting a new record for the largest entangled state on a quantum computer. This achievement, detailed in a forthcoming letter, demonstrates significant progress in scaling quantum systems. The advance suggests increasing qubit coherence and control, crucial steps toward fault-tolerant quantum computation.
IBM has developed an FPGA-based Relay-BP decoder for quantum Low-Density Parity-Check (qLDPC) codes, demonstrating significant speed improvements over GPU-based solutions. This advancement enables real-time decoding on hardware, which is crucial for practical quantum error correction.
Qiskit Fall Fest has demonstrated significant growth in community interest and institutional adoption over two years. The event, expanding globally, leverages a decentralized, community-driven model to organize diverse technical activities, anticipating substantial participation. This growth highlights the effectiveness of a community-led strategy in scaling quantum computing education and development.
IBM has installed a full-scale model of its Quantum System One at Chicago O'Hare, aiming to increase public engagement with quantum computing. This installation highlights the system's design for data center environments, signifying a pivotal step towards practical integration of quantum technology. The initiative seeks to inspire broader interest and understanding of quantum computing among a large audience.
IBM's Quantum service is fully integrated into the IBM Cloud infrastructure, adhering to the same stringent security and operational standards as other IBM Cloud services. This integration ensures that the quantum computing offerings meet the security and reliability expectations of clients handling sensitive data globally.
IBM Quantum and Vanguard collaborated on researching sampling-based Variational Quantum Eigensolvers (VQAs) for portfolio construction. This initiative investigates the application of quantum computing to financial optimization problems, aiming to assess its practical utility and performance in real-world scenarios. The research was published in a blog post by IBM and a pre-print on arXiv.
This GitHub Gist provides a concise Python script using Qiskit Aqua to apply Grover's search algorithm to a 3-variable, 5-clause DIMACS SAT instance. The oracle parses the CNF directly, and execution on qasm_simulator yields the satisfying assignment. Demonstrates quantum advantage for NP-complete problems with 5 lines of core logic.
Code snippet demonstrates configuring and loading an H2 molecule for quantum chemistry simulations in Qiskit Aqua. Uses PySCF driver with STO-3G basis set and 0.735 Angstrom bond length. Configuration manager handles driver instantiation and molecule object creation from atomic coordinates.
This Qiskit script creates a 2-qubit quantum circuit implementing a Bell state via Hadamard gate on the first qubit followed by CNOT to entangle it with the second. It measures both qubits into classical registers and executes on the local QASM simulator. The output retrieves counts of the resulting entangled state, typically showing 00 and 11 outcomes with equal probability.