Learning Quantum Gates & Circuits with QuCode

Day 20 of my 21-Day Quantum Computing Challenge with QuCode Today’s Focus: 🔹 Quantum Error Correction (QEC) - Unlike classical bits, qubits are fragile and prone to errors from noise and imperfect gates. QEC encodes logical qubits into multiple physical qubits, allowing detection and correction of errors without directly measuring and destroying quantum information. 🔹 Decoherence - One of the biggest challenges in quantum computing. It occurs when qubits lose their quantum properties due to interaction with the environment, limiting the reliability and scalability of quantum systems. These concepts highlights that building fault-tolerant quantum computers is not just about more qubits, but about better, error-resilient qubits. #QuantumComputing #QuantumErrorCorrection #Decoherence #FaultTolerantComputing

👀 Want to find out more about the work of our Quantum Computing Division in 2024? 👉 Quantum computers have the potential to perform extremely complex calculations, by encoding information into quantum states. This opens the way for revolutionary applications, such as complex optimization challenges or prediction, simulation, and modelling of the behaviour of molecules, catalysts, and new materials. 💡 Realizing the promise of quantum computing requires the development of different layers of hardware and software. Together, these layers are referred to as the quantum computing stack. This stack is what we explore at QuTech. The base of the stack – the ‘quantum processor’ – contains the qubits. We are investigating different types of qubits, along with the system architecture that translates quantum algorithms into electronic signals that operate on the qubits. 📘 Read the Quantum Computing Division chapter of our annual report: edu.nl/mjfce

Day 20 of the 21-day Quantum Computing Challenge (Cohort 3) In today's session, we delved into a fundamental aspect of quantum technology: the dual nature of quantum systems, showcasing immense power alongside extreme fragility. Key Concept Explored: - Quantum Error Correction: Shielding qubits from noise and operational discrepancies. - Decoherence: The phenomenon leading to the dissipation of quantum information into the surroundings. By implementing error correction, qubits can uphold their intricate quantum states, while investigating decoherence enhances our comprehension of the factors causing instability in quantum systems. These intertwined concepts form the core of advancing towards more dependable and scalable quantum computers. #QuantumComputing #QuCode #EmergingTech #LifelongLearning

Quantum computing 9 #Qucode Exploring Quantum Gates & Circuits Quantum computing is reshaping the future of technology—and at the core of it are quantum gates, the building blocks of quantum circuits. Here are some foundational gates every quantum enthusiast should know: 🔹 Pauli Gates (X, Y, Z) – The quantum analogs of classical bit flips and rotations. 🔹 Hadamard Gate (H) – Creates superpositions, turning definite states into quantum possibilities. 🔹 Phase Gate (S, T) – Adds phase shifts, essential for interference and quantum control. 🔹 CNOT Gate (Controlled-NOT) – A two-qubit gate critical for entanglement and quantum logic. 🔹 Unitary Transformations – All quantum gates are unitary, meaning they preserve the norm of the quantum state (reversible operations).

🚀Day 18 of my 21-Day Quantum Computing Challenge with QuCode 🚀 Today’s Focus: Hybrid Quantum-Classical Computing. Hybrid quantum-classical computing combines the strengths of quantum processors and classical computers. Quantum hardware handles tasks like state superposition, entanglement, and interference, while classical systems perform optimization, control, and post-processing. This approach is essential today because current quantum hardware (NISQ devices) is limited in qubits and coherence time. By integrating classical computation, we can run practical algorithms like Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA) efficiently, bridging the gap between theory and real-world applications. Hybrid computing is proving to be the most promising path for near-term quantum advantage. #QuantumComputing #HybridQuantumClassical #VQE #QAOA #NISQ

Day 8 – QuCode Quantum Challenge (Cohort 3) Day 8 of my QuCode 21 Days Quantum Computing Challenge – Cohort 3! Today’s focus: Quantum Circuits & Gates – the core of quantum computation. 🔹 Hadamard Gate (H): Creates superposition from |0⟩ or |1⟩. 🔹 Pauli Gates (X, Y, Z): Flip or rotate qubits on the Bloch sphere. 🔹 CNOT Gate: Enables entanglement — key for quantum advantage. 🔹 Quantum Circuits: Combining gates builds powerful quantum algorithms. 🌀 Insight: Simple gates produce complex, non-classical effects — small changes in qubit states, big leaps in computing power #qucode #qucodecomputing #qucodechallenge #quantumcomputing

⚡ In a major step toward quantum RAM, QIA researchers at ICFO have built an array of ten controllable quantum memories that can store and retrieve multiple qubits on demand. Markus Teller, Susana Plascencia, Cristina Sastre Jachimska, Samuele Grandi, led by ICREA Prof. and QIA Long-Distance Team Lead Hugues de Riedmatten, realised this milestone that brings us closer to the quantum equivalent of RAM — a core building block for scalable #quantumcomputing and #quantumcommunication networks. Unlike classical RAM, which stores bits (0s and 1s), these memories handle qubits that can exist in multiple states simultaneously. The ICFO team showed that their solid-state system can reliably store qubits in different encodings and recall them when needed, preserving their quantum states. Why it matters: 📌 Enables scalable creation of large entangled states crucial for quantum computing. 📌 Improves efficiency for quantum communication networks 📌 Marks progress toward practical quantum memory systems This builds on ICFO’s earlier world record: a solid-state memory with 250 storage slots for photons, each with on-demand retrieval. With further advances in efficiency, storage time, and scalability, quantum memory arrays could power the backbone of the #quantuminternet and light-based quantum computers. For more info, read ICFO's news story here: https://lnkd.in/gxRgsH8u

Do you enjoy quantum computing, like I do? What about bosonic quantum computers on superconducting circuits? I invite you to take some minutes to check out our new paper "Phase transitions, symmetries, and tunneling in Kerr parametric oscillators," just published in Physical Review A. 📄 DOI: https://lnkd.in/ePvtwpMT Kerr parametric oscillators (KPO) came as a new home for the well-known Schrödinger cat qubits — designed quantum states to naturally suppress phase flips and make life easier for quantum error correcting codes 🙂    We show how you can explore the KPO parameters to enable or suppress tunneling between the quantum states. If you ask me, is that just for qubits? Nope! We explore 3-photon drive (potential for qutrits) and 4-photon drive (two qubits + two ancillas) as well, how about that? If you don't have an idea what I'm talking about and want to learn more about quantum computing or have any questions regarding our work, please don't hesitate to reach out. I’d love to hear your thoughts😊 #QuantumComputing #QuantumResearch #SuperconductingCircuits #KPOs

Day 4/21 Quantum for Today: Explored quantum logic gates and their unique effects on qubits, revealing how superposition sets quantum bits apart from classical bits. Examined the Hadamard gate’s role in creating superpositions, and how measurement collapses quantum states. Visualized qubit behavior on the Bloch sphere, highlighting logic gates as geometric rotations. Discussed how quantum computations leverage these principles for profound speedups and new applications. Covered the contrast between classical and quantum information for a deeper understanding of quantum computing foundations. #qucode #QC #21Daychallenge

🇵🇸 🇵🇸 Day 20: Quantum error correction, Decoherence The microscopic nature of the qubit is sensitive to the external environment, which leads to a change in its composition in quantum computing, which corrupts the information. For this reason, the creation of algorithms to correct errors and ensure that the information arrives as it is without any change, but this remains the biggest challenge in the quantum world. Key points : ✔️ Decoherence : a quantum system loses its quantum properties. ✔️ Quantum error correction: a technique in quantum computing used to protect information stored in qubits from errors caused by decoherence.(Shor algorithm , surface code , stabilizers....) #Decoherence #QuantumErrorCorrection QuCode