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November 11-18, 2022

Travel the cosmos with Qiskit Runtime

The nicely quoted problem statement for the challenge from the IBM Blog:

In this Fall Challenge, each user will take on the role of a lifetime, serving as captain of the Earth’s first faster-than-light starship. It’s your job to lead humanity into a new era of space exploration, and you’ll surely encounter some magnificent discoveries along the way — from beautiful distant worlds to mind-boggling cosmic phenomena. But to survive this long and arduous journey, you’ll need the help of IBM Quantum’s Qiskit Runtime service and the new primitives-based programming model that it enables.

The challenge ahead

Lab 1: Qiskit Runtime and Primitives
Lab 2: Quantum Machine Learning
Lab 3: Quantum Optimization
Lab 4: Quantum Chemistry

Error Suppression and Error Mitigation

  • Matrix-free Measurement Mitigation (M3)
  • Dynamic Decoupling (DD)
  • Twirled Readout Error eXtinction (T-REX)
  • Digital Zero-noise Extrapolation (ZNE)
  • Probabilistic Error Cancellation (PEC)

To complete the challenge by coming up with the decode protocol to unscramble the message, finding optimal routes for own spaceship, calculating the reaction energies of interstellar molecules, and more, we need to build the computing journey on thoe Qiskit Runtime Primitives taking the advantage of Qiskit Runtime.

Attribution

The challenge exercises in this repository are based on the IBM Quantum Challenge Fall 2022 by IBM Quantum / Qiskit Community, licensed under Apache-2.0.

Original notebooks have been extended with personal notes, additional experiments, and analysis by Pratiksha Gaikwad.

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IBM Quantum Challenge Fall 2022 — implemented VQE for interstellar molecules (H₃⁺, C₃H₂), quantum kernel learning with error mitigation on real hardware, TSP optimization via QUBO/VQE, and variational quantum classifier tested on IBM quantum processors

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