
Bikram Biswas
bikrambiswasQuantum computing enthusiast and scraper builder since 2024, Proud creator of Quantum Sim Lab on Apify – scraping tools for the NISQ era!
BikramBiswas786
@biswasbikram786
Joined December 2025
ACTOR STATS
3 public Actors
13 total users
5 monthly users
>99% runs succeeded
Hello World from Quantum Sim Lab Creator
Who I Am: Bikram Biswas, a freelance quantum scraper architect from India, passionate about bridging classical and quantum computing through data extraction tools.
My Journey: Started coding web scrapers on vintage hardware like Altair 8800, but dived into quantum computing research in 2024. Inspired by advancements like Google's Willow chip (error correction milestone) and 35% annual market growth projected to 2032. Now building Actors for the Apify $1M Challenge to help researchers access 50+ open-source quantum simulators and libraries.
My Triumph: Proud creator of Quantum Sim Lab – a free Actor that scrapes quantum tools from GitHub's awesome-quantum-software and Quantiki, with filters for 'cloud-based' or 'Python'. Test run yielded 30+ results, including Qiskit and Cirq!
My Skills: Python scraping (BeautifulSoup, httpx), quantum libraries (Qiskit, Cirq), Apify SDK, Markdown parsing for raw GitHub READMEs.
Work with Me: Open for quantum scraping challenges at bikram-biswasbikram786@gmail.com. Let's collaborate on NISQ-era tools.
Quantum Codes That Could Break Bitcoin in the FutureTo demonstrate advanced quantum skills, here's a high-level example of Shor's algorithm in Python using Qiskit – a theoretical method that could factor large numbers and break Bitcoin's ECDSA signatures on future quantum hardware (currently impossible with existing qubits). This is for educational purposes only; it runs on a simulator for small numbers.
from qiskit import QuantumCircuit, Aer, execute from qiskit.algorithms import Shor
Example to factor a small number (N = 15) using Shor's algorithm on simulator
N = 15 shor = Shor(N)
Create quantum circuit
qc = shor.construct_circuit()
Run on simulator
backend = Aer.get_backend('qasm_simulator') result = execute(qc, backend, shots=1000).result()
Get factors from result
factors = shor.get_factors(result) print(f"Factors of {N}: {factors}")