requirements.txt + installation guide added.

INSTALL.md

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+While the fall 2022 challenge is over, you can still run the Jupyter notebooks using one of these two options:
+
+Option 1: Run the Jupyter notebooks in the IBM Quantum Lab:
+===========================================================
+
+1. Create an IBM quantum account on https://quantum-computing.ibm.com/ .
+2. Go to the IBM quantum dashboard.
+3. Click "Launch Lab".
+4. Upload the [jupyter notebooks](content) from the github repository.
+5. Open _lab1.ipynb_.
+6. Insert a new cell at the top of the notebook and run this in it:
+```
+!pip install git+https://github.com/qiskit-community/Quantum-Challenge-Grader.git
+```
+7. Insert a new cell after the previous one and run this in it:
+```
+%env QC_GRADE_ONLY=true
+```
+8. Now you are ready to solve all exercises.
+
+Option 2: Run the Jupyter notebooks on your local computer using Anaconda:
+==========================================================================
+
+**Note: You will still need to create an account on https://quantum-computing.ibm.com/  to run some of the cells that use IBM backends.**
+
+1. Install Anaconda:
+
+    https://www.anaconda.com/
+
+2. Open an Anaconda prompt.
+
+3. Create a new environment and activate it:
+    ```
+    conda create --name ibm-quantum-challenge-fall-22 python=3.8.12
+    conda activate ibm-quantum-challenge-fall-22
+    ```
+
+4. Change into the directory containing [requirements.txt](requirements.txt):
+    ```
+    cd "ibm-quantum-challenge-fall-22"
+    ```
+
+5. Install requirements:
+    ```
+    pip install -r requirements.txt
+    ```
+
+6. Start Jupyter:
+    ```
+    jupyter notebook
+    ```
+
+7. Since the fall challenge is over, make sure you run the following in a new cell in the notebooks before running any other cells in order to be able to run the grader:
+    ```
+    %env QC_GRADE_ONLY=true
+    ```
+
+    If you had already run some cells, restart the kernel after running that command.

requirements.txt

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+notebook
+numpy
+matplotlib
+qiskit==0.39.2
+qiskit-aer==0.11.1
+qiskit-experiments==0.4.0
+qiskit-finance==0.3.4
+qiskit-ibm-experiment==0.2.8
+qiskit-ibm-provider==0.1.0
+qiskit-ibm-runtime==0.8.0
+qiskit-ibmq-provider==0.19.2
+qiskit-machine-learning==0.5.0
+qiskit-nature==0.5.0
+qiskit-optimization==0.4.0
+qiskit-terra==0.22.2
+prototype-zne==1.0.0
+pylatexenc
+typeguard
+pathlib
+qc-grader @ git+https://github.com/qiskit-community/Quantum-Challenge-Grader.git