𝗔 𝟮-𝗾𝘂𝗯𝗶𝘁 𝗴𝗮𝘁𝗲 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲 𝗮 𝘀𝗶𝗺𝗽𝗹𝗲 𝗯𝗼𝘅 𝗶𝗻 𝘆𝗼𝘂𝗿 𝗰𝗶𝗿𝗰𝘂𝗶𝘁 𝗱𝗶𝗮𝗴𝗿𝗮𝗺. But in hardware, it’s a precisely timed quantum interaction. To implement a 2-qubit gate, the qubits must be coupled so that their states can influence each other. In superconducting circuits, this is done in two main ways: • 𝗙𝗶𝘅𝗲𝗱 𝗰𝗼𝘂𝗽𝗹𝗶𝗻𝗴: Qubits are placed close enough that their electric or magnetic fields overlap, creating a capacitive or inductive interaction. • 𝗠𝗲𝗱𝗶𝗮𝘁𝗲𝗱 𝗰𝗼𝘂𝗽𝗹𝗶𝗻𝗴: A shared element - typically a tunable coupler - connects the qubits and allows their interaction strength to be adjusted dynamically. This coupling is established at the design stage and it determines what kind of 2-qubit gate the system supports. Most platforms today use either fixed-frequency qubits with capacitive coupling, or tunable-frequency qubits with a tunable coupler in between. 𝗕𝘂𝘁 𝗰𝗼𝘂𝗽𝗹𝗶𝗻𝗴 𝗮𝗹𝗼𝗻𝗲 𝗶𝘀𝗻’𝘁 𝗲𝗻𝗼𝘂𝗴𝗵. To make it a gate, you need to 𝗮𝗰𝘁𝗶𝘃𝗮𝘁𝗲 the interaction using control pulses. Here are the three most common types of 2-qubit gates: 𝟭. 𝗧𝗵𝗲 𝗶𝗦𝗪𝗔𝗣 – 𝗘𝗻𝗲𝗿𝗴𝘆 𝗘𝘅𝗰𝗵𝗮𝗻𝗴𝗲 The two qubits are brought into exact resonance. Their excitations begin to oscillate - swapping back and forth like two perfectly synchronized pendulums. If you stop the interaction halfway through a swap, the qubits have effectively exchanged states. 𝟮. 𝗧𝗵𝗲 𝗖𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗲𝗱-𝗭 (𝗖𝗭) – 𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗵𝗮𝘀𝗲 𝗦𝗵𝗶𝗳𝘁 Here, no energy is exchanged. Instead, one qubit gives the other a conditional "nudge." A fast pulse briefly changes a qubit's frequency, altering its interaction with its neighbour. This interaction is just long enough to shift the phase of the system 𝘰𝘯𝘭𝘺 𝘪𝘧 𝘣𝘰𝘵𝘩 𝘲𝘶𝘣𝘪𝘵𝘴 𝘢𝘳𝘦 𝘪𝘯 𝘵𝘩𝘦 |𝟷> state. 𝟯. 𝗧𝗵𝗲 𝗖𝗿𝗼𝘀𝘀-𝗥𝗲𝘀𝗼𝗻𝗮𝗻𝗰𝗲 (𝗖𝗥) - 𝗧𝗵𝗲 𝟮𝗤 𝗴𝗮𝘁𝗲 𝗳𝗼𝗿 𝗳𝗶𝘅𝗲𝗱 𝗳𝗿𝗲𝗾𝘂𝗲𝗻𝗰𝘆 𝗾𝘂𝗯𝗶𝘁𝘀 You "push" one qubit (the control) with a microwave signal, but at the frequency of its 𝘯𝘦𝘪𝘨𝘩𝘣𝘰𝘶𝘳 (the target). Because of their fixed coupling, this push makes the target qubit start to rotate. Crucially, the direction of this rotation depends on whether the control qubit is in the |𝟶> or |𝟷> state. All of these gates operate on nanosecond timescales and require extremely accurate calibration. The goal is to generate entanglement while avoiding crosstalk, leakage, and phase errors. So while a 2-qubit gate may look like a single operation on paper, in practice it’s a precisely engineered interaction. One that is guided by circuit layout, coupling design, and microwave/flux control pulses. 📸 Image from 𝘊𝘪𝘳𝘤𝘶𝘪𝘵 𝘘𝘶𝘢𝘯𝘵𝘶𝘮 𝘌𝘭𝘦𝘤𝘵𝘳𝘰𝘥𝘺𝘯𝘢𝘮𝘪𝘤𝘴 by Alexandre Blais, Arne Grimsmo , Steven Girvin, Andreas Wallraff
Quantum Information Transfer Between Qubits
Explore top LinkedIn content from expert professionals.
Summary
Quantum information transfer between qubits refers to the process of sending quantum states—like data—between two or more quantum bits, which are the basic units of quantum computers. This is a critical step for building scalable quantum networks, as it allows distant processors or qubits to share information reliably using photons or engineered quantum interactions.
- Explore photon connections: Using photons to link qubits can help achieve long-distance communication between quantum processors and reduce error rates.
- Design for scalability: Creating modular architectures that connect multiple quantum nodes directly supports larger quantum networks and future data centers.
- Focus on entanglement: Generating and distributing entangled qubits across different modules increases the efficiency and reliability of quantum information transfer.
-
-
Check out the latest from MIT EQuS and Lincoln Laboratory published in @NaturePhysics! In this work, we demonstrate a quantum interconnect using a waveguide to connect two superconducting, multi-qubit modules located in separate microwave packages. We emit and absorb microwave photons on demand and in a chosen direction between these modules using quantum entanglement and quantum interference. To optimize the emission and absorption protocol, we use a reinforcement learning algorithm to shape the photon for maximal absorption efficiency, exceeding 60% in both directions. By halting the emission process halfway through its duration, we generate remote entanglement between modules in the form of a four-qubit W state with concurrence exceeding 60%. This quantum network architecture enables all-to-all connectivity between non-local processors for modular, distributed, and extensible quantum computation. Read the full paper here: https://lnkd.in/eN4MagvU (paywall), view-only link https://rdcu.be/eeuBF, or arXiv https://lnkd.in/ez3Xz7KT. See also the related MIT News article: https://lnkd.in/e_4pv8cs. Congratulations Aziza Almanakly, Beatriz Yankelevich, and all co-authors with the MIT EQuS Group and MIT Lincoln Laboratory! Massachusetts Institute of Technology, MIT Center for Quantum Engineering, MIT EECS, MIT Department of Physics, MIT School of Engineering, MIT School of Science, Research Laboratory of Electronics at MIT, MIT Lincoln Laboratory, MIT xPRO, Will Oliver
-
PHOTON-INTERFACED SCALABLE QUANTUM NODES LINKING LIGHT AND MATTER The photon‑interfaced ten‑qubit register of trapped ions constitutes a potential advance in the development of scalable quantum network nodes. In this architecture, each ion in a ten‑qubit linear chain is individually entangled with a propagating photon, producing a sequential train of ion–photon Bell pairs with high fidelity. Previous experiments had only achieved this capability for one or two ions, making the extension to a full ten‑qubit register a meaningful step toward practical matter‑to‑light interfaces for distributed quantum information processing. The system operates by dynamically transporting ions into the mode of an optical cavity and driving a cavity‑mediated Raman transition that generates a single photon entangled with the ion’s internal qubit state. This procedure yields a time‑ordered photonic qubit stream in which each photon carries the quantum information of a distinct ion. The significance of this work lies in its direct response to a central challenge in quantum networking: the need to map the quantum state of a multi‑qubit matter register onto a set of photonic qubits that can propagate through optical fiber with low loss. Trapped ions serve as exceptionally coherent stationary qubits, but they cannot be transported between processors. Photons, by contrast, function as low‑loss flying qubits capable of transmitting quantum information over long distances. Ion–photon entanglement is therefore the essential mechanism for linking spatially separated ion‑based processors. Scaling this interface to ten ions establishes a clear path toward high‑rate, multiplexed entanglement distribution. This scaling is particularly relevant in light of recent long‑distance demonstrations in which multiple ions, each entangled with its own photon, were used to increase entanglement distribution rates over fiber links exceeding one hundred kilometers. Generating a rapid sequence of entangled photons—each correlated with a different ion—enables temporal multiplexing, which is indispensable for overcoming fiber loss and improving heralded entanglement rates. The ten‑ion photon‑interfaced register provides precisely the type of multiplexed matter‑to‑light source required for such architectures. Despite its importance, several technical challenges remain. Photon detection probabilities must be increased to support long‑distance networking without excessive repetition rates. Sequential ion shuttling introduces timing overhead and potential motional heating, and cavity alignment and stability become increasingly demanding as the register size grows. Maintaining spectral and temporal indistinguishability across the full photon train is essential for multi‑node entanglement generation and remains an active area of optimization. These challenges, however, represent engineering refinements rather than fundamental limitations. #DOI: https://lnkd.in/e5HRus5e
-
Quantum Leap: MIT Device Enables Photon-Based Communication Between Quantum Processors A New Framework for Scalable Quantum Computing In a major advancement toward building large-scale quantum computers, researchers at MIT have developed a groundbreaking interconnection device that allows direct, photon-based communication between multiple superconducting quantum processors. Published in Nature Physics, the innovation addresses a key bottleneck in quantum architecture—how to efficiently link qubits spread across different processors without degrading the fragile quantum information they carry. Overcoming the Quantum Network Challenge Just as classical computers rely on high-speed data transfers between components like CPUs and memory, quantum computers must eventually support inter-processor communication. But doing this reliably at scale has been a major hurdle. • Current Limitation: Most existing quantum interconnects use point-to-point connections—an architecture that requires information to hop between multiple nodes, introducing error with each transfer. • Quantum Decoherence Risk: These repeated transfers degrade the quantum states (qubits), limiting computational accuracy and scalability. • MIT’s Solution: The MIT team’s new interconnect device enables “all-to-all” communication, meaning each quantum processor can communicate directly with any other, bypassing intermediate nodes and minimizing error. How the New Device Works The MIT device uses microwave photons—light particles that operate at the same energy scale as superconducting qubits—to shuttle quantum information on demand between processors. • Photon Routing on Demand: The system enables quantum processors to send photons back and forth in specific, user-defined directions. • Superconducting Waveguide: A specialized superconducting wire acts as a waveguide, efficiently transporting microwave photons across the network. • Demonstrated Performance: The researchers successfully built a two-processor network that shared photons with high fidelity—offering proof of concept for scalable communication. Why This Is a Breakthrough Quantum computers promise to revolutionize fields such as cryptography, drug discovery, climate modeling, and materials science—but only if they can scale beyond a few dozen or hundred qubits. • Enabling Modular Quantum Systems: With this architecture, multiple smaller quantum processors can be linked into a much larger, modular quantum system without sacrificing performance. • Reduced Error Rates: Fewer intermediary hops mean lower decoherence and higher overall system reliability—a key concern in quantum computation. • Roadmap to Scalable Quantum Networks: This photon-based, directionally controllable interconnect may be foundational for future quantum data centers where processors are physically separated but tightly networked.