Thank you for the opportunity @Qucodes

We are having a session with the CEO of QwantumG, KG where we discussed about Quantum Inspired Algorithm and application in AI.

Updating my learning progress for the last day of #day21of21 by #Qucodes @Qucodes . For today agenda is about the future of quantum computing and real world application in finance, chemistry, AI and optimization.

Done submitting for today challenge #day20of21 #learningQC with @Qucodes #qucodes.

What is the future of NISQ Computer?.- The future of NISQ (era computing is full of challenges, but also exciting opportunities yet it's a crucial stepping stone toward fully fault-tolerant quantum computing. 12/12

What is NISQ or Noisy Intermediate-Scale Quantum? .The NISQ era refers to the current generation of quantum computers that contains 50–100s of qubits, Are noisy (no full error correction yet) and has less significant or industrial application. Currently we are in this era!. 11/?

The following is comparison table for different QED code. 10/?

3. Steane code (7-qbit).- Corrects arbitrary single-qubit errors using fewer qubits than Shor code. 4. Surface code.- Scalable & practical code that corrects arbitrary local errors using nearestbneighbor interactions, ideal for physical devices like superconducting qubits. 9/?.

There are several power codes for QEC which are : .1. Shor code (9qbit).- Corrects any arbitrary single-qubit error:.2. Bit-flip code (3qbit).- Corrects bit-flip errors. 8/?

QEC is when you encounter an error in a qtm system, what we do to mitigate it is by applying an operation to reverse the error and restore the original logical qubit. We dont have to measure the qubit instead measure ancillary qubits to detect what kind of error occurred. 7/?

So how to overcome the decoherence and noise? The 'error' cause by these noise should be corrected by a technique called qtm error correction (QEC). QEC is a way to protect quantum information from noise and decoherence w/o directly measuring & collapsing the qubit state. 6/?.

Then what is qtm decoherence? Quite similar with noise definition except for when a qtm system loses its qtm properties (superposition, entanglement) due to interaction with its environment/thermal bath. This means decoherence = noise but not all noise is decoherence. 5/?

The example of quantum noise such as : .i. Bit-flip error (|0⟩ -> |1⟩).ii. Phase-flip error (|+⟩ -> |−⟩).iii. Depolarizing noise (randomizing the state).iv. Gate errors & cross-talk between qubits. Noise occurs due to gate imperfection, interaction, thermal noise, etc. 4/?.

What is quantum noise?.The noise here means unwanted disturbances or imperfections that affect quantum systems during computation. Unlike classical noise (electrical interference), quantum noise can corrupt quantum states in very subtle & complex ways due to their fragility. 3/?

It is quantum noise and quantum decoherence. Quantum noise and decoherence can cause the destruction of quantum state/wavefunction. Thus, t causes loss of information in qubit form, making our quantum computer inefficient and unreliable. But what is quantum noise? . 2/?

Updating my learning progress #Day20of21 #LearningQuantumComputing by #Qucodes @Qucodes . Today's agenda is to learn about quantum noise, decoherence, error correction and Noisy Intermediate scale quantum. Have you ever wondered what actually hampers quantum computing?. 1/?

iii. Research is growing fast in applying QML to drug discovery, finance, and cryptography. Key Insight: The integration of QML can lead to breakthroughs where classical AI faces scalability or complexity limits. 6/6.

3. The Future of Quantum AI. i. QML will reshape industries with hybrid models leveraging both classical and quantum resources. ii. Scalability and noise resilience are ongoing challenges but quantum advantage in AI is a promising frontier. 5/?.

ii. Parameters (like angles in rotation gates) are optimized using classical optimizers. iii. QNNs can represent more complex functions due to quantum parallelism and entanglement. Frameworks: Pennylane, Qiskit Machine Learning, TensorFlow Quantum. 4/?.