Post History

There isn't a definitive answer on the upper bound of quantum computing's processing abilities, but here's what we know:

**Classical Computers vs. Quantum Computers:**

* **Regular computers:** Their processing power increases linearly with more bits. Doubling the bits doubles the calculations done at once.
* **Quantum computers:**  They leverage qubits, which can be 0, 1, or both simultaneously (superposition). This allows for exponential processing power increases with more qubits. 

**Theoretical Potential:**

* In theory, a quantum computer with enough qubits could tackle problems impossible for classical computers, including complex simulations.

**Challenges and Limitations:**

* Building large, stable quantum computers is incredibly difficult.
* Not all problems benefit from a quantum approach. Some tasks are better suited for classical computers.

**Modeling the Human Body:**

* Your estimation highlights the vast number of calculations needed to model even a single cell.
* Quantum computers have the potential to significantly improve this, but there are limitations:
    * Maintaining the delicate quantum state of qubits is challenging, especially with complex simulations.
    * Even with faster processing, accurately modeling a system as intricate as the human body might require more qubits than we can realistically manage in the near future.

**The Future:**

* Quantum computing is a rapidly evolving field. Predicting a realistic bound for its capabilities in the near future is difficult.
* Modeling an entire human body at the atomic level in a usable timeframe might be beyond the reach of even future quantum computers.  However, quantum computers could revolutionize our understanding of biological processes by tackling smaller, more manageable parts of the system. 

**In summary:**

Quantum computers have the potential to break barriers in simulation, but there are technical hurdles to overcome.  While modeling an entire human body might be a distant dream, these machines hold immense potential for scientific breakthroughs in the years to come.